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A general chemostat model with second-order Poisson jumps: asymptotic properties and application to industrial waste-water treatment

  • A chemostat is a laboratory device (of the bioreactor type) in which organisms (bacteria, phytoplankton) develop in a controlled manner. This paper studies the asymptotic properties of a chemostat model with generalized interference function and Poisson noise. Due to the complexity of abrupt and erratic fluctuations, we consider the effect of the second order Itô-Lévy processes. The dynamics of our perturbed system are determined by the value of the threshold parameter C0. If C0 is strictly positive, the stationarity and ergodicity properties of our model are verified (practical scenario). If C0 is strictly negative, the considered and modeled microorganism will disappear in an exponential manner. This research provides a comprehensive overview of the chemostat interaction under general assumptions that can be applied to various models in biology and ecology. In order to verify the reliability of our results, we probe the case of industrial waste-water treatment. It is concluded that higher order jumps possess a negative influence on the long-term behavior of microorganisms in the sense that they lead to complete extinction.

    Citation: Yassine Sabbar, José Luis Diaz Palencia, Mouhcine Tilioua, Abraham Otero, Anwar Zeb, Salih Djilali. A general chemostat model with second-order Poisson jumps: asymptotic properties and application to industrial waste-water treatment[J]. AIMS Mathematics, 2023, 8(6): 13024-13049. doi: 10.3934/math.2023656

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  • A chemostat is a laboratory device (of the bioreactor type) in which organisms (bacteria, phytoplankton) develop in a controlled manner. This paper studies the asymptotic properties of a chemostat model with generalized interference function and Poisson noise. Due to the complexity of abrupt and erratic fluctuations, we consider the effect of the second order Itô-Lévy processes. The dynamics of our perturbed system are determined by the value of the threshold parameter C0. If C0 is strictly positive, the stationarity and ergodicity properties of our model are verified (practical scenario). If C0 is strictly negative, the considered and modeled microorganism will disappear in an exponential manner. This research provides a comprehensive overview of the chemostat interaction under general assumptions that can be applied to various models in biology and ecology. In order to verify the reliability of our results, we probe the case of industrial waste-water treatment. It is concluded that higher order jumps possess a negative influence on the long-term behavior of microorganisms in the sense that they lead to complete extinction.



    Continuous selection theorems play an important role in various nonlinear problems arising in mathematics and applied science. In 1956, Michael [1] first established a well-known continuous selection theorem. In 1968, Browder [2] proved a continuous selection theorem in the setting of paracompact Hausdorff topological vector spaces and used this continuous selection theorem to obtain his famous fixed point theorem which is an essential tool in proving existence theorems of numerous nonlinear problems. Since then, Yannelis and Prabhakar [3], Ding et al. [4], Lee et al. [5], Wu and Shen [6], and Balaj and Lin [7] further studied the continuous selection theorems in Hausdorff topological vector spaces and gave applications to fixed point theorems, variational inequalities and various equilibrium problems. It is well known that the theory of fuzzy sets is widely used to deal with systems or phenomena which cannot be characterized precisely. Therefore, considering this fact, Kim et al. [8] and Kim and Lee [9] proved some continuous selection theorems for fuzzy mappings and gave their applications to fixed point theorems in Hausdorff topological vector spaces.

    The linear and convex assumptions are important in the proof of the continuous selection theorems mentioned above, but at the same time these assumptions limit the application of these continuous selection theorems. Therefore, in order to further extend the application of continuous selection theorems, many authors made a lot of efforts to generalize continuous selection theorem to general spaces without any linear and convex structure. Horvath [10] generalized Michael's selection theorems for lower semicontinuous set-valued mappings from topological vector spaces to C-spaces. Ding and Park [11], Yu and Lin [12], Park [13], and Fakhar and Zafarani [14] studied continuous selection theorems in G-convex spaces and gave some applications to fixed point theorems and existence of equilibria. Ding [15] proved new continuous selection theorems in FC-spaces and applied these selection theorems to collectively fixed point theorems and coincidence theorems for two families of set-valued mappings defined on product FC-spaces. Recently, Khanh et al. [16] investigated continuous selection theory in GFC-spaces concluding FC-spaces in [15] as special cases and obtained a new continuous selection theorem with applications to fixed point theorems, section theorems, maximal elements, intersection theorems, and existence results of solutions of variational relations. Very recently, by using a continuous selection theorem which can be seen as a special case of Theorem 3.1 due to Khanh et al. [16], Khanh and Long [17] obtained a nonempty intersection theorem, an alternative theorem, and some general minimax inequalities in GFC-spaces.

    However, taking into account of the above observations, it is known that almost all existing results provide sufficient conditions on the existence of selections for set-valued mappings in crisp settings, and they are also based on strong topological structures, in particular topological vector spaces or topological spaces with some abstract convex structure. Therefore, it is natural to ask whether it is possible to construct a more general space framework that can include the spaces mentioned above as special cases, and to use this space framework to study the existence of selections for fuzzy mappings and their related problems. From this viewpoint, we give the motivation of this paper, as well as the methodology and the conclusions as follows.

    Motivations: For any finite subset of a nonempty set, an upper semicontinuous set-valued mapping from a simplex to a topological space is constructed, on the basis of which we define the so-called WPH-space consisting of the topological space, nonempty set and set-valued mapping just mentioned. This space is more general and removes linear and convex structure, which unifies and covers many spaces in the existing literature. Therefore, it is necessary and meaningful to study the existence of upper semicontinuous selections for fuzzy mappings and related problems, such as the existence of fuzzy collective coincidence points, fuzzy collectively fixed points, and the existence of equilibria for generalized fuzzy games and generalized fuzzy qualitative games in noncompact WPH-spaces.

    Methodology: By using standard topological analysis, set-valued analysis, and the continuous partition of unity, we prove the existence of upper semicontinuous selections for fuzzy mappings in noncompact WPH-spaces when fuzzy mappings satisfy weaker conditions. The properties of WPH-spaces and the existence results of upper semicontinuous selections for fuzzy mappings are then used to provide full characterizations on the existence of fuzzy collective coincidence points, fuzzy collectively fixed points, and equilibria for generalized fuzzy games and generalized fuzzy qualitative games in the case where a family of fuzzy mappings, fuzzy constraint mappings, and fuzzy preference mappings satisfy weaker conditions.

    Conclusions: In the framework of WPH-spaces, we obtain a new existence result of upper semicontinuous selections for fuzzy mappings under the condition that fuzzy mappings satisfy weaker open cover property and convexity assumption, and as a corollary of this result, we also get an existence result of upper semicontinuous selections for set-valued mappings in crisp settings. Furthermore, based on the existence results of upper semicontinuous selections in fuzzy and crisp settings, we derive new existence results of fuzzy collective coincidence points, fuzzy collectively fixed points, and equilibria for generalized fuzzy games and generalized fuzzy qualitative games in noncompact WPH-spaces. The existence results mentioned above improve, extend and unify the main results in the existing literature.

    The rest of this paper is organized as follows. Section 2 states notation and definitions. In Section 3, an upper semicontinuous selection theorem for fuzzy mappings is proved in WPH-spaces and as a direct consequence, an upper semicontinuous selection theorem for set-valued mappings is obtained. In Section 4, by using upper semicontinuous selection theorems for fuzzy mappings, we obtain fuzzy collective coincidence point theorems and fuzzy collectively fixed point theorems in noncompact WPH-spaces. In Section 5, by virtue of the upper semicontinuous selection theorem for set-valued mappings, we obtain existence theorems of equilibria for generalized fuzzy games and generalized fuzzy qualitative games, and as consequences, we also derive existence theorems of equilibria for generalized games, generalized qualitative games, and qualitative games in noncompact WPH-spaces. As applications, we use the existence result of equilibria for qualitative games to prove the existence of Pareto equilibria for a multiobjective water resource allocation game model. The concluding remarks highlight the main findings of the paper and future research trends.

    Let X be a nonempty set. We denote by 2X the family of all subsets of X and by X the family of all nonempty finite subsets of X. For any AX, we denote by |A| the cardinality of A. Let Δn denote the standard n-dimensional simplex with vertices {e0,e1,,en}, where ei is the (i+1)th unit vector in Rn+1. For every J{0,1,,n}, let Δ|J|1 denote the convex hull of {ei:iJ}.

    A subset A of a topological space X is said to be compactly open if AC is open in C for every nonempty compact subset C of X. Note that there exists a nonempty subset A of a topological space X such that for each nonempty compact subset C of X, AC is open in C, but A is not open in X (see, for example, Kelley [18, page 240]). Therefore, the notion of a compactly open set generalizes the notion of a open set in general topological space. Moreover, let us define the compact closure and compact interior of A (see [19]) by cclA={D:AD and D is compactly closed in X} and cintA={D:DA and D is compactly open in X}, respectively. Obviously, cclA (respectively, cintA) is compactly closed (respectively, compactly open) in X and A is compactly closed (respectively, compactly open) if and only if A=cclA (respectively, A=cintA). If C is a nonempty compact subset of X with AC, then we have cclAC=clC(AC) and cintAC=intC(AC).

    Let X and Y be two nonempty sets. A function from X into [0,1] is called a fuzzy set on X. We denote by F(X) the family of all fuzzy sets on X. A mapping from Y into F(X) is called a fuzzy mapping. If F:YF(X) is a fuzzy mapping, then for each yY, F(y) (denoted it by Fy in the sequel) is a fuzzy set in F(X) and the number Fy(x) is called the degree of membership of point x in Fy. If AF(X) is a fuzzy set, then the set (A)α={xX:A(x)>α}, α[0,1), is called strong α-cut, and (A)0 is said to be the support of A. For more details on fuzzy sets, the reader is referred to [8,9,20,21,22,23,24,25] and the references therein.

    Definition 2.1. Let X be a topological space and Z be a nonempty set. A triple (X,Z;σN) is said to be a weakly pseudo H-space (for short, WPH-space) if for each N={z0,z1,,zn}Z, there exists an upper semicontinuous set-valued mapping σN:Δn2X with nonempty values. A WPH-space (X,Z;σN) is said to be a Hausdorff WPH-space if X is a Hausdorff topological space. In case X=Z, the triple (X,Z;σN) can be written by (X;σN).

    Remark 2.2. It is worthwhile noting that in Definition 2.1, X and Z do not possess any linear and convex structure and σN:Δn2X is an upper semicontinuous mapping with nonempty values. Therefore, WPH-spaces include convex subsets of topological vector spaces, pseudo H-spaces introduced by Lai et al. [26], Lassonde's convex spaces in [27], H-spaces introduced by Horvath [28], G-convex spaces introduced by Park and Kim [29], L-spaces introduced by Ben-El-Mechaiekh et al. [30], G-H-spaces introduced by Verma [31], FC-spaces due to Ding [15], GFC-spaces due to Khanh et al. [16], and many other spaces (see, for example, [31,32,33,34] and the references therein) as special cases.

    Definition 2.3. Let (X,Z;σN) be a WPH-space, AZ, and BX. We say that B is WPH-convex relative to A if for each N={z0,z1,,zn}Z and each {zi0,zi1,,zik}A{z0,z1,,zn}, we have σN(Δk)B, where Δk is the convex hull of {ei0,ei1,,eik}.

    Remark 2.4. (1) By Definition 2.3, we can see that if B is WPH-convex relative to A, then the triple (B,A;φN) also forms a WPH-space. If A is nonempty and B is WPH-convex relative to A, then B is automatically nonempty. If X=Z and A=B, then B is said to be a WPH-convex subspace of (X;σN).

    (2) Assume that {Ai} be a family of subsets of Z and {Bi} be a family of subsets of X with iIBi, where I is an index set and Bi is WPH-convex relative to Ai for every iI. Then by Definition 2.3, we can show that iIBi is also WPH-convex relative to iIAi. In fact, for each N={z0,z1,,zn}Z and each {zi0,zi1,,zik}(iIAi){z0,z1,,zn}, we have {zi0,zi1,,zik}Ai{z0,z1,,zn} for every iI. Since Bi is WPH-convex relative to Ai for every iI, it follows that σN(Δk)Bi and thus, σN(Δk)iIBi.

    (3) For any given subset B of X, let us define WPH-hull of B relative to A by

    WPH(B,A)={CX:BC, C is WPH-convex relative to A}.

    It is easy to verify that WPH(B,A) is WPH-convex relative to A.

    Definition 2.5. Let {(Xi,Zi;σNi)|iΩ} be a family of WPH-spaces, where Ω is a finite or infinite index set. Let X=iΩXi and Y be a topological space. The class ˜B(X,Y) of better admissible mappings is defined as follows: T˜B(X,Y)T:X2Y is a set-valued mapping with nonempty values and for each iΩ, NiZi with |Ni|=ni+1, each continuous mapping Ψ:T(iΩσNi(Δni))C, the composition mapping ΨT|iΩσNi(Δni)Φ:C2C has a fixed point, where C=iΩΔni, Φ(z)=iΩσNi(πi(z)) for every zC and πi is the projection of C onto Δni.

    Remark 2.6. Definition 2.5 improves and generalizes the corresponding definition due to Ding [35] in the following aspects: (a) From G-convex spaces to WPH-spaces; (b) The condition that T in the corresponding definition in Ding [35] is an upper semicontinuous set-valued mapping with compact values is removed. Even Ω is a singleton, the class ˜B(X,Y) unifies and extends many important classes of mappings, for example, the class UKC introduced by Park and Kim [29], the class A defined by Ben-Ei-Mechaiekh et al. [30], the class B due to Ding [34], and the class of mappings with KKM property in Chang and Yen [36].

    Definition 2.7. Let (X,Z;φN) be a WPH-space and Y be a nonempty set. Let f:Y×XR{±} and g:Y×ZR{±} be two functions. We say that f is WPH-g-quasiconcave on Y if for each N={z0,z1,,zn}Z, each {zi0,zi1,,zik}{z0,z1,,zn}, and each yY, we have f(y,x)min0jkg(y,zij) for every xσN(Δk). We say that f is WPH-g-quasiconvex on Y if (f) is WPH-(g)-quasiconcave on Y. When X=Z and f=g, f is said to be WPH-quasiconcave (respectively, WPH-quasiconvex) on Y.

    Remark 2.8. Definition 2.7 generalizes Definition 4.1 of Zhang and Cheng [37] from FC-spaces to WPH-spaces. In addition, we can compare Definition 2.7 with Definition 3 of Kim [38] in the following aspects: (a) The condition that the mapping σN in Definition 2.7 is an upper semicontinuous set-valued mapping is weaker than the condition that the mapping ϕn in Definition 3 of Kim [38] is a single-valued continuous mapping; (b) There are two functions in Definition 2.7, but there is only one function in Definition 3 of Kim [38]; (c) In Definition 2.7, there are three nonempty sets and X does not need to be a subset of Y. In Definition 3 of Kim [38], there are two nonempty sets and one set is a subset of another one; (d) x and y in the left of the inequality in Definition 2.7 are independent of each other, but the corresponding parts in the left of the inequality in Definition 3 of Kim [38] are required to be same.

    Definition 2.9. Let (X,Z;φN) be a WPH-space and Y be a nonempty set. Let F:YF(X) and G:YF(Z) be two fuzzy mappings. We say that F is WPH-G-quasiconcave (respectively, WPH-G-quasiconvex) on Y if f is WPH-g-quasiconcave (respectively, WPH-g-quasiconvex) on Y, where the functions f:Y×X[0,1] and g:Y×Z[0,1] are defined by f(y,x)=(Fy)(x) for every (y,x)Y×X and by g(y,z)=(Gy)(z) for every (y,z)Y×Z, respectively.

    Definition 2.10. Let {(Xi,Zi;σNi)|iΩ} be a family of WPH-spaces, where Ω is a finite or infinite index set. For each iΩ and each ˜NiZi×Zi, let πl(˜Ni) (respectively, πr(˜Ni)) denote the projection of ˜Ni onto the left (respectively, right) of Xi×Xi. Let Y be a topological space. The class ~DB(ΠiΩ(Xi×Xi),Y) of better admissible mappings is defined as follows: T~DB(ΠiΩ(Xi×Xi),Y)T:ΠiΩ(Xi×Xi)2Y is a set-valued mapping with nonempty values and for each iΩ, ˜NiZi×Zi with |˜Ni|=ni+1 and each continuous mapping Ψ:T(iΩ(σπl(˜Ni)(Δni)×σπr(˜Ni)(Δni)))C, the composition mapping ΨT|iΩ(σπl(˜Ni)(Δni)×σπr(˜Ni)(Δni))Φ:C2C has a fixed point, where C=iΩΔni, Φ(z)=iΩ(σπl(˜Ni)(πi(z))×σπr(˜Ni)(πi(z))) for every zC and πi is the projection of C onto Δni.

    The following upper semicontinuous selection theorem for fuzzy mappings is useful for proving our main results. The reader is referred to [39,40,41,42] for the concept of an upper semicontinuous set-valued mapping and its associated properties.

    Theorem 3.1. Let (X,Z;σN) be a WPH-space, K be a nonempty compact subset of a Hausdorff topological space Y, and α:Y[0,1) be a function. Let H:YF(X) and P:YF(Z) be two fuzzy mappings such that for each yK, (Hy)α(y) is WPH-convex relative to (Py)α(y) and KzZcint{yY:Py(z)>α(y)}. Then there exists an upper semicontinuous set-valued mapping f:K2X such that f=σβ and f(y)=σ(β(y))(Hy)α(y) for every yK, where σ:Δn2X is an upper semicontinuous set-valued mapping with nonempty values, β:KΔn is a continuous mapping, and n is a positive integer.

    Proof. Let us define a set-valued mapping Υ:K2Z by Υ(y)=(Py)α(y) for every yK. Then we have Υ1(z)={yK:Py(z)>α(y)} for every zZ. Since KzZcint{yY:Py(z)>α(y)}, it follows that

    K=zZ(Kcint{yY:Py(z)>α(y)})=zZintK{yK:Py(z)>α(y)}=zZintKΥ1(z).

    Since K is compact, there exists {¯z0,¯z1,,¯zn}Z such that K=ni=0intKΥ1(¯zi). Therefore, there exists a continuous partition of unity {βi}ni=0 subordinated to the open cover {intKΥ1(¯zi)}ni=0, that is, for each i{0,1,,n}, βi:K[0,1] is continuous such that ni=0βi(y)=1 for every yK and βi(y)>0 implies yintKΥ1(¯zi). For each yK, let J(y):={j{0,1,,n}:βj(y)>0}. Then for each jJ(y), it follows that yintKΥ1(¯zj) and so, ¯zjΥ(y)=(Py)α(y). Now, we define a single-valued continuous mapping β:KΔn by β(y)=ni=0βi(y)ei for every yK and we have β(y)=jJ(y)βj(y)ejΔ|J(y)|1 for every yK. Since (X,Z;φN) is a WPH-space, there exists an upper semicontinuous set-valued mapping σ:Δn2X associated with the finite set {¯z0,¯z1,,¯zn}. Thus, the set-valued mapping f:K2X defined by f(y)=(σβ)(y) for every yK, is upper semicontinuous on K. Since (Hy)α(y) is WPH-convex relative to (Py)α(y) for every yK, it follows that f(y)=(σβ)(y)=σ(β(y))σ(Δ|J(y)|1)(Hy)α(y) for every yK. This completes the proof.

    Remark 3.2. Theorem 3.1 generalizes Theorem 1 of Kim et al. [8] in the following aspects: (a) From Hausdorff topological vector spaces to WPH-spaces without any linear and convex structure; (b) The compactness assumption on X of Theorem 1 of Kim et al. [8] is removed; (c) The continuous assumptions on α and the function xFx(y) of Theorem 1 of Kim et al. [8] are dropped. Theorem 3.1 also extends and generalizes Theorem 2.2 of Tarafdar [42], Corollary 2.1 of Ding [15], and Lemma 4.2 of Khanh and Long [17] to WPH-spaces and fuzzy settings.

    Example 3.3. Let X=(0,1) and Y=(2,2) endowed with the Euclidean metric topology. Let Z=R. Define two fuzzy mappings H:YF(X) and P:YF(Z) by

          Hy(x)={23, if (y,x)(2,1)×(0,1) or (y,x)(1,2)×(0,1),34, if (y,x)[1,1]×[12,1),0, otherwise.
          Py(z)={45, if (y,z)(2,1]×(12,0] or (y,z)[1,2)×(12,0],35,  if (y,z)(1,12)×{0} or (y,z)(1,12)×(2y1,1],23, if (y,z)[12,12]×(0,1],78, if (y,z)(12,1)×{0} or (y,z)(12,1)×(2y1,1],0 otherwise.

    Let α:Y[0,1) be defined by α(y)12 for every yY. Then we have the followings:

     (Hy)α(y)={(0,1), if y(2,1) or y(1,2),[12,1), if y[1,1].
                 (Py)α(y)={(12,0], if y(2,1] or y[1,2),{0}(2y1,1],  if y(1,12),(0,1], if y[12,12],{0}(2y1,1], if y(12,1).

    Now, we show that all the conditions of Theorem 3.1 are satisfied.

    (1) For each N={z0,z1,,zn}Z, define a continuous mapping ρN:ΔnX as follows:

    ρN(p)=11+ni=1λ2i1+max0jn{|zj|},   p=ni=0λieiΔn.

    Define a set-valued mapping L:X2X by L(x)=[x,1) for every xX, which is upper semicontinuous on X. Indeed, let xX and for each open subset V of X with L(x)=[x,1)V. Then there exists ε>0 such that xε>0 and (xε,1)V. Taking U(x)=(xε,1), we can see that U(x) is an open neighborhood of x and L(x)=[x,1)(xε,1)V for every xU(x). Thus, by the definition of an upper semicontinuous set-valued mapping (see Definition 7.1.1 of Klein and Thompson [39]), L is upper semicontinuous on X. Therefore, for each NZ with |N|=n+1, the set-valued mapping σN:Δn2X defined by σN(p)=LρN(p) for every pΔn, is upper semicontinuous on Δn, which implies that (X,Z;σN) forms a WPH-space. Then for each yY, each N={z0,z1,,zn}Z, and each {zi0,zi1,,zik}N(Py)α(y), it is easy to check that σN(Δk)(Hy)α(y).

    (2) Let K=[12,32] be a compact subset of Y. Since there exist z0=0Z, z1=1Z such that cint{yY:Py(0)>α(y)}=(2,12)(12,2) and cint{yY:Py(1)>α(y)}=(1,1), it follows that

    K((2,12)(12,2))(1,1)=cint{yY:Py(0)>α(y)}cint{yY:Py(1)>α(y)}zZcint{yY:Py(z)>α(y)}.

    Hence, all the conditions of Theorem 3.1 are fulfilled. We can find a specific upper semicontinuous set-valued mapping f:K2X such that f=σβ and f(y)=σ(β(y))(Hy)α(y) for every yK, where σ:Δ12X is an upper semicontinuous set-valued mapping with nonempty values and β:KΔ1 is a continuous mapping. In fact, let us define a continuous mapping β:KΔ1R2 by β(y)=(|y|6,1|y|6) for every yK and an upper semicontinuous set-valued mapping σ:Δ12X by

    σ(p)=[22+λ21+λ22,1),   p=(λ1,λ2)Δ1.

    Then we can see that the upper semicontinuous set-valued mapping f=σβ defined on K satisfies the above requirement.

    The following upper semicontinuous selection theorem for set-valued mappings is a direct consequence of Theorem 3.1 in crisp settings.

    Theorem 3.4. Let (X,Z;σN) be a WPH-space and K be a nonempty compact subset of a Hausdorff topological space Y. Let H:Y2X and P:Y2Z be two set-valued mappings such that for each yK, H(y) is WPH-convex relative to P(y) and KzZcintP1(z). Then there exists an upper semicontinuous set-valued mapping f:K2X such that f=σβ and f(y)=σ(β(y))H(y) for every yK, where σ:Δn2X is an upper semicontinuous set-valued mapping with nonempty values, β:KΔn is a continuous mapping, and n is a positive integer.

    Proof. By using H and P, we can define two fuzzy mappings ˜H:YF(X) and ˜P:YF(Z) by ˜Hy=χH(y) and by ˜Py=χP(y) for every yY, respectively, where χE is the characteristic function of the subset EX or EZ. Define α:Y[0,1) by α(y)0 for every yY. Then it is easy to see that (˜Hy)α(y)=H(y), (˜Py)α(y)=P(y) for every yY, and P1(z)={yY:˜Py(z)>α(y)}. Thus, all the hypotheses of Theorem 3.1 are satisfied. Therefore, there exists an upper semicontinuous set-valued mapping f:K2X such that f=σβ and f(y)=σ(β(y))(˜Hy)α(y)=H(y) for every yK, where σ:Δn2X is an upper semicontinuous set-valued mapping with nonempty values, β:KΔn is a continuous mapping, and n is a positive integer. This completes the proof.

    In this section, as applications of the upper semicontinuous selection theorems, we will establish fuzzy coincidence point theorems and fuzzy collectively fixed point theorems in noncompact WPH-spaces without any linear and convex structure.

    Let Ω be a finite or infinite index set. For each iΩ, let Xi be a nonempty set, Hi:YF(Xi) be a fuzzy mapping, and αi:Y[0,1) be a function. Let X=iΩXi and T:X2Y be a set-valued mapping, where Y is a topological space. We consider the fuzzy collective coincidence point problem (in short, FCCPP) as follows: finding ˆxX and ˆyY such that ˆyT(ˆx) and ˆxi(Hiˆy)αi(ˆy) for every iΩ. Let Hi:Y2Xi be a set-valued mapping for every iΩ.

    If X=Y and T is the identity mapping on X, then the above problem deduces the fuzzy collectively fixed point problem (in short, FCFPP) as follows: Finding ˆxX such that ˆxi(Hiˆx)αi(ˆx) for all iΩ, which was studied by Kim and Lee [9] in locally convex Hausdorff topological vector spaces.

    Theorem 4.1. Let Ω be a finite or infinite index set and {(Xi,Zi;σNi)|iΩ} be a family of WPH-spaces. Let X=iΥXi and T˜B(X,Y), where Y is a Hausdorff topological space. For each iΩ, let αi:Y[0,1) be a function and let Hi:YF(Xi) and Pi:YF(Zi) be two fuzzy mappings such that the following conditions hold:

    (i) T(X) is a compact subset of Y;

    (ii) For each yT(X), (Hiy)αi(y) is WPH-convex relative to (Piy)αi(y);

    (iii) T(X)ziZicint{yY:Piy(zi)>αi(y)}.

    Then FCCPP has a solution.

    Proof. By Theorem 3.1, for each iΩ, there exists an upper semicontinuous set-valued mapping fi:T(X)2Xi such that fi=σiβi and fi(y)=σi(βi(y))(Hiy)αi(y) for every yY, where σi:Δni2Xi is an upper semicontinuous set-valued mapping with nonempty values, βi:T(X)Δni is a continuous mapping, and ni is a positive integer. Let C=iΩΔni and πi:CΔni be the projection of C onto Δni. Let us define a set-valued mapping Φ:C2X and a continuous mapping Ψ:T(X)C by Φ(z)=iΩσi(πi(z)) for every zC and Ψ(y)=iΩβi(y) for every yT(X), respectively. We observe that σi(Δni)Xi for every iΩ. Hence, iΩσi(Δni)iΩXi=X and T(iΩσi(Δni))T(X). Since T˜B(X,Y), it follows that the composition ΨT|iΩσi(Δni)Φ:C2C has a fixed point, which implies that there exists ˆzC such that

    ˆzΨT|iΩσi(Δni)Φ(ˆz).

    Then there exists ˆxΦ(ˆz) such that ˆzΨT|iΩσi(Δni)(ˆx). Let ˆyT(ˆx) such that

    ˆxΦ(ˆz)=ΦΨ(ˆy)=Φ(iΩβi(ˆy))=iΩσi(πi(iΩβi(ˆy)))=iΩ(σiβi)(ˆy).

    It follows that ˆxi(σiβi)(ˆy)(Hiˆy)αi(ˆy) for every iΩ. Hence, FCCPP has a solution. This completes the proof.

    Example 4.2. Let Ω be a singleton and X=Y=(12,1] with the Euclidean metric topology. Let Z=(12,1]. Define two fuzzy mappings H:YF(X) and P:YF(Z) by

    Hy(x)=(13y+14)x,   x,y(12,1],
    Py(z)=(29y+16)z,   y,z(12,1],

    respectively. Let α:Y[0,1) be defined by α(y)=16y+18 for every y(12,1]. Then we have (Hy)α(y)=(12,1] and (Py)α(y)=(34,1] for every y(12,1]. Define a set-valued mapping T:X2Y by

    T(x)={[23,45], if x[910,1],[1115,45], if x(12,910).

    Now, we check all the conditions of Theorem 4.1 as follows:

    (1) For each N={z0,z1,,zn}Z, define a continuous function νN:ΔnX by νN(p)=ni=0λizi for every p=ni=0λiei. Furthermore, let L:X2X be defined by

    L(x)={(12,34], if x[34,1],[35,710], if x(12,34).

    We can prove that L is upper semicontinuous on X. Indeed, let xX and for any open subset V of X with L(x)V. Let x=34. Then we have L(34)=(12,34]V and thus, there exists ε>0 such that 34+ε<1 and (12,34+ε)V. Let U(34)=(12,34+ε) be an open neighborhood of 34 in X. If x(12,34), then we have L(x)=[35,710](12,34]V. If x[34,34+ε), then we have L(x)=(12,34]V. Therefore, we have L(x)V for every xU(34), which implies that L is upper semicontinuous at 34. Now, let x=1. Then we have L(1)=(12,34]V. Taking U(1)=(12,1] as an open neighborhood of 1 in X, we know that L(x)=(12,34]V for each x[34,1] and L(x)=[35,710](12,34]V for each x(12,34). Therefore, we have L(x)V for every xU(1), which implies that L is upper semicontinuous at 1. By using the argument similar to that used above, we can prove that L is upper semicontinuous at every x(34,1)(12,34). Thus, L is upper semicontinuous on X. For each N={z0,z1,zn}Z, define σN=LνN:Δn2X. Then σN is upper semicontinuous on Δn and thus, (X;σN) forms a WPH-space. It is easy to see that T(X)=[23,45], which is a nonempty compact subset of Y. Therefore, condition (i) of Theorem 4.1 is fulfilled. For each yT(X)=[23,45], each N={z0,z1,zn}Z, and each {zi0,zi1,zik}N(Py)α(y), we have σN(Δk)(Hy)α(y), which implies that condition (ii) of Theorem 4.1 is satisfied.

    (2) Since α and the function y(Py)(z) for each zZ are continuous on Y, it follows that the set {yY:Py(z)>α(y)} is an open subset of Y for every zZ. Therefore, for each zZ, we have {yY:Py(z)>α(y)}=cint{yY:Py(z)>α(y)}. For each yY, there exists {1}Z such that 1(Py)α(y)=(34,1] and hence, we get T(X)=[23,45]Y=cint{yY:Py(1)>α(y)}, which implies that condition (iii) of Theorem 4.1 is satisfied.

    (3) We show that T˜B(X,Y). We can prove that T is upper semicontinuous on X. Indeed, let xX and for any open subset V of Y with T(x)V. Let x=910. Then we have T(910)=[23,45]V. Let U(910)=(45,1) be an open neighborhood of 910 in X. If x(45,910), then we have T(x)=[1115,45][23,45]V. If x[910,1), then we have T(x)=[23,45]V. Therefore, we have T(x)V for every xU(910). Now, let x=1. Then we have T(1)=[23,45]V. Let U(1)=(12,1] be an open neighborhood of 1 in X and thus, we can see that if x[910,1], then we have T(x)=[23,45]V and if x(12,910), then we have T(x)=[1115,45][23,45]V. Therefore, we have T(x)V for every xU(1). By using the argument similar to that used above, we can prove that T is upper semicontinuous at every x(910,1)(12,910). Thus, T is upper semicontinuous on X. For each N={z0,z1,,zn}D and each pΔn, we can see that T(σN)(p)=[1115,45]. In fact, for each pΔn and each N={z0,z1,zn}Z, by the definition of the function ν, we have 12<νN(p)=ni=0λidi1. If 34νN(p)12, then σN(p)=LνN(p)=(12,34](12,910). If 12<νN(p)<34, then σN(p)=LνN(p)=[35,710](12,910). By the definition of T, we have T(σN)(p)=T(σN(Δn))=[1115,45]. Therefore, the composition T|σNσN:Δn2T(σN(Δn)) is an upper semicontinuous set-valued mapping with nonempty compact convex values. By Lemma 1 in Yuan [40], for each continuous function ψ:T(σN(Δn))Δn, the composition ψT|σNσN:Δn2Δn has a fixed point, which implies that T˜B(X,Y). Let x=910 and y=710. Then we can see that yT(x) and x(Hy)α(y).

    Corollary 4.3. Let Ω be a finite or infinite index set and {(Xi,Zi;σNi)|iΩ} be a family of WPH-spaces. Let X=iΥXi and T˜B(X,Y), where T is upper semicontinuous set-values mapping with compact values and Y is a Hausdorff topological space. For each iΩ, let αi:Y[0,1) be a function and let Hi:YF(Xi) and Pi:YF(Zi) be two fuzzy mappings such that the following conditions hold:

    (i) For each yT(X), (Hiy)αi(y) is WPH-convex relative to (Piy)αi(y);

    (ii) T(X)ziZicint{yY:Piy(zi)>αi(y)}.

    Then FCCPP has a solution.

    Proof. It suffices to prove that T(X) is a compact subset of Y. Indeed, by Proposition 3.1.11 of Aubin and Ekeland [43], T(X) is compact subset of Y. Therefore, all the requirements of Theorem 4.1 are satisfied. So, by Theorem 4.1, FCCPP has a solution. This completes the proof.

    Theorem 4.4. Let Y be a Hausdorff topological space and {(Xi,Zi;σNi)|iΩ} be a family of WPH-spaces, where Ω is a finite or infinite index set. Let X=iΩXi and T˜B(X,Y). For each iΩ, let αi:Y[0,1) be a function and let Hi:YF(Xi) and Pi:YF(Zi) be two fuzzy mappings such that the following conditions hold:

    (i) For each yT(X), (Hiy)αi(y) is WPH-convex relative to (Piy)αi(y);

    (ii) There exists a nonempty subset Z0i of Zi such that ziZicint{yY:Piy(zi)>αi(y)} contains ziZ0i[cint{yY:Piy(zi)>αi(y)}]c which is a nonempty compact subset of Y or an empty set, and for each QiZi, there exists a nonempty subset LQi of Xi, which is WPH-convex relative to some ZiZi such that Z0iQiZi and T(LQ) is compact, where LQ=iΩLQi.

    Then FCCPP has a solution.

    Proof. For each iΩ, set Ki:=ziZ0i[cint{yY:Piy(zi)>αi(y)}]c. Then it follows from (ii) that KiziZicint{yY:Piy(zi)>αi(y)}. If Ki is nonempty compact for every iΩ, then there exists QiZi such that

    KiziQicint{yY:Piy(zi)>αi(y)}. (4.1)

    Thus, by (4.1), we have

    Y=(YKi)Ki=(ziZ0icint{yY:Piy(zi)>αi(y)})(ziQicint{yY:Piy(zi)>αi(y)})=ziZ0iQicint{yY:Piy(zi)>αi(y)}.

    If Ki=, then for every QiZi, we have

    Y=ziZ0icint{yY:Piy(zi)>αi(y)}=ziZ0iQicint{yY:Piy(zi)>αi(y)}. (4.2)

    Therefore, (4.2) holds for each iΩ and the finite set Qi in (4.1). By (ii) again, for each iΩ and the finite set Qi in (4.1), there exists a nonempty subset LQiXi which is WPH-convex relative to some ZiZi such that Z0iQiZi. Hence, by (4.2), we have

    T(LQ)Y=ziZicint{yY:Piy(zi)>αi(y)}. (4.3)

    As remarked before, we can see that {(LQi,Zi;σNi)|iΩ} is a family of WPH-spaces. For each iΩ, define two fuzzy mappings Hi:YF(LQi) and Pi:YF(Zi) by

    Hiy=Hiy|LQi and Piy=Piy|Zi,   yY.

    Since T˜B(X,Y), it follows that T|LQ˜B(LQ,Y). By (4.3), we have

    T(LQ)ziZicint{yY:Piy(zi)>αi(y)},   iΩ. (4.4)

    Then by (4.4) and the assumption that T(LQ) is compact, we know that (i) and (iii) of Theorem 4.1 are fulfilled, respectively. We now prove that (ii) of Theorem 4.1 for Hi and Pi holds. In fact, by (i), for each yT(LQ), each iΩ, each Ni={zi0,zi1,,zini}Zi, and each {zij0,zij1,,zijki}Ni(Piy)αi(y)=Ni{ziZi:Piy(zi)>αi(y)}=Ni(Piy)αi(y)Zi, we have

    \sigma_{N_i}(\Delta_{k_i})\subseteq(H_{i_y})_{\alpha_i(y)}\bigcap L_{Q_i} = (H'_{i_y})_{\alpha_i(y)},

    which implies that (ii) of Theorem 4.1 is satisfied. Therefore, it follows from Theorem 4.1 that FCCPP for T|_{L_{Q}} and \{H^{'}_i\}_{i\in\Omega} has a solution, which is also a solution to FCCPP for T and \{H_i\}_{i\in\Omega} . This completes the proof.

    Remark 4.5. (1) Theorem 3.3 of Lu and Hu [44] and Theorem 4.4 cannot be deduced from each other for the following reasons: (a) Although the FWC -spaces involved in Theorem 3.3 of Lu and Hu [44] are more general than the WPH -spaces involved in Theorem 4.4, (ii) of Theorem 3.3 due to Lu and Hu [44] is not required in Theorem 4.4; (b) The condition that \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c is a nonempty compact subset of Y or an empty set in Theorem 4.4 is weaker than the condition that \bigcap_{d_i\in D_i^0}[\mbox{int}\{y\in Y:G_{i_y}(d_i) > \alpha_i(y)\}]^c is a nonempty compact subset of T(X) or an empty set in Theorem 3.3 of Lu and Hu [44]; (c) It is obvious that in Theorem 3.3 due to Lu and Hu [44], (ii) and the condition that \bigcap_{d_i\in D_i^0}[\mbox{int}\{y\in Y:G_{i_y}(d_i) > \alpha_i(y)\}]^c is a nonempty compact subset of T(X) or an empty set implies that the condition that \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c is a nonempty compact subset of Y or an empty set and \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c\subseteq \bigcup_{z_i\in Z_i}\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\} holds in Theorem 4.4.

    (2) Theorem 4.4 generalizes Theorem 3.2 of Khanh et al. [45] in the following aspects: (a) From WPH -spaces to GFC -spaces; (b) From FCCPP to CFP; (c) (ii ' ) Of Theorem 3.2 of Khanh et al. [45] is dropped. Therefore, by Remark 3.2 of Khanh et al. [45], Theorem 3.4 extends and generalizes Theorem 3.4 of Ding [15], Theorem 3 of Park [13], and Theorem 1 of Ansari and Yao [46].

    Example 4.6. Let \Omega be a singleton, X = Y = (0, 1] with the Euclidean metric topology, and let Z = [\frac{1}{3}, 1] . Define two fuzzy mappings H:Y\rightarrow {\mathscr{F}}(X) and P:Y\rightarrow {\mathscr{F}}(Z) by

    \begin{eqnarray*} H_y(x) = \left\{ \begin{array}{ll} (\frac{y}{2}+\frac{1}{8})x, \ & \mbox{if}\ y\in (0, \frac{1}{2}], \ x\in (0, 1], \\ (\frac{1}{3}y^2+\frac{1}{8})x, \ & \mbox{if}\ y\in (\frac{1}{2}, 1], \ x\in (0, 1], \end{array} \right. \end{eqnarray*}
    \begin{eqnarray*} P_y(z) = \left\{ \begin{array}{ll} (\frac{1}{4}y+\frac{1}{16})z, \ & \mbox{if}\ y\in (0, \frac{1}{2}], \ z\in [\frac{1}{3}, 1], \\ (\frac{1}{6}y^2+\frac{7}{48})z, \ & \mbox{if}\ y\in (\frac{1}{2}, 1], \ z\in [\frac{1}{3}, 1]. \end{array} \right. \end{eqnarray*}

    The function \alpha:Y\rightarrow [0, 1) is defined by

    \begin{eqnarray*} \alpha(y) = \left\{ \begin{array}{ll} \frac{1}{9}y+\frac{1}{36}, \ & \mbox{if}\ y\in (0, \frac{1}{2}], \\ \frac{2}{27}y^2+\frac{7}{108}, \ & \mbox{if}\ y\in (\frac{1}{2}, 1]. \end{array} \right. \end{eqnarray*}

    Then we have

    \begin{eqnarray*} (H_y)_{\alpha(y)} = \left\{ \begin{array}{ll} (\frac{2}{9}, 1] \ & \mbox{if}\ y\in (0, \frac{1}{2}], \\ (\frac{16y^2+14}{72y^2+27}, 1] \ & \mbox{if}\ y\in (\frac{1}{2}, 1], \end{array} \right. \end{eqnarray*}

    and (P_y)_{\alpha(y)} = (\frac{4}{9}, 1] for each y\in Y . Define a set-valued mapping T:X\rightarrow 2^Y by

    \begin{eqnarray*} T(x) = \left\{ \begin{array}{ll} [\frac{7}{10}, \frac{4}{5}], \ & \mbox{if}\ x = 1, \\ {(\frac{3}{4}, \frac{4}{5}]}, \ & \mbox{if}\ x\in (0, 1). \end{array} \right. \end{eqnarray*}

    Now, we show that all the conditions of Theorem 4.4 are fulfilled.

    (1) For each each N = \{z_0, z_1, \ldots, z_n\}\in \langle Z\rangle , let us define a set-valued mapping \sigma_{N}:\Delta_{n}\rightarrow 2^{X} by \sigma_{N}(p) = [\sum_{j = 0}^{n}\lambda_{j}z_{j}, 1] for every p = \sum_{j = 0}^{n}\lambda_{j}e_{j}\in \Delta_{n} . Then by using the same method as in Example 3.2, we can verify that (X, Z; \sigma_{N}) forms a WPH -space. For each y\in T(X) = [\frac{7}{10}, \frac{4}{5}]\subseteq (\frac{1}{2}, 1] , each N = \{z_{0}, z_{1}, \ldots, z_{n}\}\in \langle Z\rangle , each \{z_{i_0}, z_{i_1}, \ldots, z_{i_{k}}\}\subseteq N\bigcap (P_y)_{\alpha(y)} , and each p = \sum_{j = 0}^{k}\lambda_{i_{j}}e_{i_{j}}\in \Delta_{k} , we have

    \frac{4}{9} < \sum\limits_{j = 0}^{k}\lambda_{i_{j}}z_{i_{j}}\leq 1.

    Therefore, combining the fact that \frac{4}{9} > \frac{16y^2+14}{72y^2+27} if y > \frac{1}{2} , we get the following:

    \sigma_{N}(p) = [\sum\limits_{j = 0}^{k}\lambda_{i_{j}}z_{i_{j}}, 1]\subseteq (\frac{4}{9}, 1]\subseteq (\frac{16y^2+14}{72y^2+27}, 1] = (H_{y})_{\alpha(y)},

    which implies \sigma_{N}(\Delta_{k})\subseteq (H_{y})_{\alpha(y)} . Therefore, (i) of Theorem 4.4 is satisfied. Since \alpha is upper semicontinuous on Y and for each z\in Z , the function y\mapsto P_{y}(z) is lower semicontinuous on Y , it follows that the set \{y\in Y:P_{y}(z) > \alpha(y)\} is open in Y for every z\in Z and thus, we have \{y\in Y:P_{y}(z) > \alpha(y)\} = \mbox{cint}\{y\in Y:P_{y}(z) > \alpha(y)\} .

    (2) Let Z^0 = \{1\}\subseteq Z . Since \bigcup_{z\in Z^0}\mbox{cint}\{y\in Y:P_{y}(z) > \alpha(y)\} = Y , \bigcap_{z\in Z^0}[\mbox{cint}\{P_{y}(z) > \alpha(y)\}]^c is empty. For each Q = \{m_{0}, m_{1}, \ldots, m_{n}\}\in \langle Z\rangle , let \overline{m} = \min\limits_{0\leq j\leq n}\{m_{j}\} , L_{Q} = \mbox{co}(\{1\}\bigcup Q) , and Z' = L_{Q} . Then we have L_{Q} = [\overline{m}, 1] and Z^0\bigcup Q = \{1\}\bigcup Q\subseteq Z^{'} . Now, we verify that L_{Q} is WPH -convex relative to Z' . In fact, for each N' = \{z_{0}', z_{1}', \ldots, z_{n}'\}\in \langle Z\rangle and each \{z_{i_{0}}', z_{i_{1}}'\ldots, z_{i_{{k}}}'\}\subseteq N'\bigcap Z' , we have \overline{m}\leq\sum_{j = 0}^{k}\lambda_{i_{j}}z_{i_{j}}'\leq 1 for every p = \sum_{j = 0}^{k}\lambda_{i_{j}}e_{i_{j}}\in \Delta_{k} . Hence, \sigma_{N'}(p) = [\sum_{j = 0}^{k}\lambda_{i_{j}}z_{i_{j}}', 1]\subseteq [\overline{m}, 1] = L_{Q} , which implies that L_{Q} is is WPH -convex relative to Z' . By the definition of T , we have T(L_Q) = [\frac{7}{10}, \frac{4}{5}] , which is compact.

    (3) For each N\in \langle Z\rangle with |N| = n+1 , by the definitions of T and \sigma_{N} , we can see that T(z) = T(\sigma_{N}(\Delta_{n})) = [\frac{7}{10}, \frac{4}{5}] for every z\in \Delta_n . Therefore, the composition T|_{\sigma_N}\circ\sigma_N:\Delta_n\rightarrow 2^{T(\sigma_N(\Delta_n))} is an upper semicontinuous set-valued mapping with nonempty compact convex values. By Lemma 1 in Yuan [40], for each single-valued continuous function \psi:T(\sigma_N(\Delta_n))\rightarrow \Delta_n , the composition \psi\circ T|_{\sigma_N}\circ\sigma_N:\Delta_n\rightarrow 2^{\Delta_n} has a fixed point, which implies that T\in \widetilde{\mathscr{B}}(X, Y) . In summary, all the hypotheses of Theorem 4.4 are fulfilled and hence, the FCCPP in Example 4.6 has a solution. Let x^{*} = \frac{3}{5} and y^{*} = \frac{4}{5} . Then we can check that y^{*}\in T(x^{*}) and x^{*}\in (H_{y^{*}})_{\alpha(y^{*})} .

    Corollary 4.7. Let Y be a Hausdorff topological space and \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of WPH -spaces, where \Omega is a finite or infinite index set. Let X = \prod_{i\in\Omega}X_i and T\in \widetilde{\mathscr{B}}(X, Y) , where T is upper semicontinuous set-values mapping with compact values. For each i\in\Omega , let G_i:Z_i\rightarrow 2^{X_i} be a set-valued mapping, \alpha_i:Y\rightarrow [0, 1) be a function, H_i:Y\rightarrow {\mathscr{F}}(X_i) and P_i:Y\rightarrow {\mathscr{F}}(Z_i) be two fuzzy mappings such that the following conditions hold:

    (i) For each y\in T(X) , WPH(G_i((P_{i_y})_{\alpha_i(y)}), (P_{i_y})_{\alpha_i(y)})\subseteq (H_{i_y})_{\alpha_i(y)} ;

    (ii) There exists a nonempty subset Z_i^0 of Z_i such that \bigcup_{z_i\in Z_i}\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\} contains \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c which is a nonempty compact subset of Y or an empty set, and for each Q_i\in \langle Z_i\rangle , there exists a nonempty compact subset L_{Q_i} of X_i , which is WPH -convex relative to some Z_i^{'}\subseteq Z_i such that Z_i^0\bigcup Q_i\subseteq Z_i^{'} .

    Then FCCPP has a solution.

    Proof. By the definition of a WPH -hull, we can see that WPH(G_i((P_{i_y})_{\alpha_i(y)}), (P_{i_y})_{\alpha_i(y)}) is WPH -convex relative to (P_{i_y})_{\alpha_i(y)} for every i\in \Omega and every y\in T(X) . Then it follows from (i) that (H_{i_y})_{\alpha_i(y)} is WPH -convex relative to (P_{i_y})_{\alpha_i(y)} for every i\in \Omega and every y\in T(X) . By (ii), for each i\in \Omega and each Q_i\in \langle Z_i\rangle , there exists a nonempty compact subset L_{Q_i} of X_i . By this fact, we can see that the set L_Q = \prod_{i\in\Omega}L_{Q_i} is compact. Since T is upper semicontinuous set-values mapping with compact values, it follows from Proposition 3.1.11 of Aubin and Ekeland [43] that T(L_Q) is compact subset of Y . Thus, all the conditions of Theorem 4.4 are fulfilled. Therefore, by Theorem 4.4, the conclusion of Corollary 4.7 holds. The proof is complete.

    Remark 4.8. (ii) of Corollary 4.7 can be replaced by the following conditions:

    (ii) ' There exist a compact subset K of Y and a nonempty subset Z_i^0 of Z_i such that Y\setminus K\subseteq\bigcup_{z_i\in Z_i^0}\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\} , and for each Q_i\in \langle Z_i\rangle , there exists a nonempty compact subset L_{Q_i} of X_i , which is WPH -convex relative to some Z_i^{'}\subseteq Z_i such that Z_i^0\bigcup Q_i\subseteq Z_i^{'} ;

    (ii) '' For each compact subset K of Y , K\subseteq\bigcup_{z_i\in Z_i}\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\} .

    In fact, by (ii) ' , we get

    \bigcap\limits_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c = Y\setminus \bigcup\limits_{z_i\in Z_i^0}\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}\subseteq K.

    If \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c\neq\emptyset , then it is compact by the fact that it is a compactly closed subset of the compact set K . Therefore, it follows from (ii) '' that \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c\subseteq \bigcup_{z_i\in Z_i}\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\} , which implies that condition (ii) of Corollary 4.7 holds. If \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(z_i) > \alpha_i(y)\}]^c = \emptyset , then (ii) of Corollary 4.7 holds automatically.

    Theorem 4.9. Let Y be a Hausdorff topological space and \{X_i|i\in\Omega\} be a family of topological vector spaces, where \Omega is a finite or infinite index set. Let X = \prod_{i\in\Omega}X_i and T:X\rightarrow2^Y be an upper semicontinuous set-valued mapping with nonempty compact values. For each i\in\Omega , let \alpha_i:Y\rightarrow [0, 1) be a function and let H_i:Y\rightarrow {\mathscr{F}}(X_i) and P_i:Y\rightarrow {\mathscr{F}}(X_i) be two fuzzy mappings such that the following conditions are fulfilled:

    (i) For each N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle and for each single-valued continuous mapping \Psi:T(\prod_{i\in \Omega}\tau_{N_i}(\Delta_{n_i}))\rightarrow C , the composition mapping \Psi\circ T_{\prod_{i\in \Omega} \;\;\tau_{N_i}(\Delta_{n_i})}\circ\prod_{i\in\Omega}\tau_{N_i}:C\rightarrow 2^C has a fixed point, where C = \prod_{i\in\Omega}\Delta_{n_i} , \tau_{N_i}:\Delta_{n_i}\rightarrow X_i is a linear function such that \tau_{N_i}(e_{i_j}) = x_{i_j} for every j\in\{0, 1, \ldots, n_i\} , \prod_{i\in\Omega}\tau_{N_i}:C\rightarrow X is defined by \prod_{i\in\Omega}\tau_{N_i}(z) = \prod_{i\in\Omega}\tau_{N_i}(\pi_i(z)) for every z\in C , and \pi_i is the projection of C onto \Delta_{n_i} .;

    (ii) For each y\in T(X) , \mbox{co}((P_{i_y})_{\alpha_i(y)})\subseteq (H_{i_y})_{\alpha_i(y)} ;

    (iii) There exists a nonempty subset X_i^0 which is contained in a compact convex subset \widetilde{X}_i of X_i such that \bigcap_{x_i\in X_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(x_i) > \alpha_i(y)\}]^c\subseteq \bigcup_{x_i\in X_i}\mbox{cint}\{y\in Y:P_{i_y}(x_i) > \alpha_i(y)\} , where \bigcap_{x_i\in X_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(x_i) > \alpha_i(y)\}]^c is a nonempty compact subset of Y or an empty set.

    Then FCCPP has a solution.

    Proof. For each i\in\Omega and each N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle , we define a continuous mapping \sigma_{N_i}:\Delta_{n_i}\rightarrow \mbox{co}(N_i)\subseteq X_i as follows:

    \begin{align} \sigma_{N_i}(\sum\limits_{j = 0}^{n_i}t_{i_j}e_{i_j}) = \sum\limits_{j = 0}^{n_i}t_{i_j}x_{i_j}, \ \ \forall (t_{i_0}, t_{i_1}, \ldots, t_{i_{n_i}}) = \sum\limits_{j = 0}^{n_i}t_{i_j}e_{i_j}\in \Delta_{n_i}. \end{align} (4.5)

    Then (X_i; \sigma_{N_i}) forms a WPH -space. We claim that \sigma_{N_i} = \tau_{N_i} for every N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle and every i\in \Omega . Indeed, let (t_{i_0}, t_{i_1}, \ldots, t_{i_{n_i}}) = \sum_{j = 0}^{n_i}t_{i_j}e_{i_j}\in \Delta_{n_i} be any given. By (i) and (4.5), we have

    \tau_{N_i}(\sum\limits_{j = 0}^{n_i}t_{i_j}e_{i_j}) = \sum\limits_{j = 0}^{n_i}t_{i_j}\tau_{N_i}(e_{i_j}) = \sum\limits_{j = 0}^{n_i}t_{i_j}x_{i_j} = \sigma_{N_i}(\sum\limits_{j = 0}^{n_i}t_{i_j}e_{i_j}).

    This implies that \sigma_{N_i} = \tau_{N_i} for every i\in \Omega . By (4.5) again, we can see that \sigma_{N_i}(\Delta_{n_i}) = \tau_{N_i}(\Delta_{n_i}) = \mbox{co}(N_i) for every i\in\Omega and every N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle . Define \Phi:C\rightarrow X by \Phi(z) = \prod_{i\in\Omega}\sigma_{N_i}(\pi_i(z)) for every z\in C . Then by (i), for each i\in\Omega , each N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle , and each single-valued continuous mapping \Psi:T(\prod_{i\in \Omega}\sigma_{N_i}(\Delta_{n_i}))\rightarrow C , the composition \Psi\circ T|_{\prod_{i\in\Omega}\sigma_{N_i}(\Delta_{n_i})}\circ \Phi:C\rightarrow 2^C has a fixed point, which implies that T\in \widetilde{\mathscr{B}}(X, Y) . By (ii) and (4.5), for each y\in T(X) , each i\in\Omega , each N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle , and each \{x_{i_{j_0}}, x_{i_{j_1}}, \ldots, x_{i_{j_{k_i}}}\}\subseteq N_i\bigcap(P_{i_y})_{\alpha_i(y)} , we have

    \begin{eqnarray*} \sigma_{N_i}(\Delta_{k_i})& = &\mbox{co}(\{x_{i_{j_0}}, x_{i_{j_1}}, \ldots, x_{i_{j_{k_i}}}\})\\ &\subseteq &\mbox{co}((P_{i_y})_{\alpha_i(y)})\\ &\subseteq &(H_{i_y})_{\alpha_i(y)}. \end{eqnarray*}

    This shows that (H_{i_y})_{\alpha_i(y)} is WPH -convex relative to (P_{i_y})_{\alpha_i(y)} for every i\in\Omega and every y\in T(X) . Hence, (i) of Theorem 4.4 is satisfied. Now, we prove that (ii) of Theorem 4.4 is fulfilled. Indeed, for each i\in\Omega and each Q_i\in\langle X_i\rangle , let X_i^0 = Z_i^0 and L_{Q_i} = Z_i^{'} = \mbox{co}(\widetilde{X}_i\bigcup Q_i) . Since each \widetilde{X}_i is compact convex and X_i^0\subseteq \widetilde{X}_i , it follows that each L_{Q_i} is compact convex subset of X_i containing Z_i^0\bigcup Q_i and hence, L_{Q_i} is a WPH -subspace of (X_i; \sigma_{N_i}) such that Z_i^0\bigcup Q_i\subseteq L_{Q_i} = Z_i^{'} . Furthermore, let L_Q = \prod_{i\in \Omega}L_{Q_i} . Then L_Q is a compact subset of X . Since T is an upper semicontinuous set-valued mapping with nonempty compact values, it follows from Proposition 3.1.11 of Aubin and Ekeland [43] that T(L_{Q}) is compact subset of Y . Therefore, all the requirements of Theorem 4.4 are satisfied. Hence, by Theorem 4.4, FCCPP has a solution. This completes the proof.

    Remark 4.10. (ii) of Theorem 4.9 can be replaced by one of the following conditions:

    (ii) ' For each y\in T(X) and each N_i\in \langle(P_{i_y})_{\alpha_i(y)}\rangle , \mbox{co}(N_i)\subseteq (H_{i_y})_{\alpha_i(y)} ;

    (ii) '' For each y\in T(X) , (P_{i_y})_{\alpha_i(y)}\subseteq (H_{i_y})_{\alpha_i(y)} and the set (H_{i_y})_{\alpha_i(y)} is convex.

    Theorem 4.11. Let Y be a Hausdorff topological space and \{X_i|i\in\Omega\} be a family of topological vector spaces, where \Omega is a finite or infinite index set. Let X = \prod_{i\in\Omega}X_i and T:X\rightarrow2^Y be an upper semicontinuous set-valued mapping with nonempty compact values. For each i\in \Omega , let \alpha_i:Y\rightarrow [0, 1) be a function and let H_i:Y\rightarrow {\mathscr{F}}(X_i) and P_i:Y\rightarrow {\mathscr{F}}(X_i) be two fuzzy mappings such that the following conditions hold:

    (i) For each N_i\in \langle X_i\rangle with |N_i| = n_i+1 and for each single-valued continuous mapping \Psi:T(\prod_{i\in\Omega}\mbox{co}(N_i))\rightarrow \prod_{i\in\Omega}\Delta_{n_i} , the composition mapping \Psi\circ T|_{\prod_{i\in\Omega}\mbox{co}(N_i)} has convex values;

    (ii) For each y\in T(X) , \mbox{co}((P_{i_y})_{\alpha_i(y)})\subseteq (H_{i_y})_{\alpha_i(y)} ;

    (iii) There exists a nonempty subset X_i^0 which is contained in a compact convex subset \widetilde{X}_i of X_i such that \bigcap_{x_i\in X_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(x_i) > \alpha_i(y)\}]^c\subseteq \bigcup_{x_i\in X_i}\mbox{cint}\{y\in Y:P_{i_y}(x_i) > \alpha_i(y)\} , where \bigcap_{x_i\in X_i^0}[\mbox{cint}\{y\in Y:P_{i_y}(x_i) > \alpha_i(y)\}]^c is a nonempty compact subset of Y or an empty set.

    Then FCCPP has a solution.

    Proof. For each i\in\Omega and each N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle , we define a continuous mapping \sigma_{N_i}:\Delta_{n_i}\rightarrow \mbox{co}(N_i)\subseteq X_i by

    \begin{align} \sigma_{N_i}(\sum\limits_{j = 0}^{n_i}t_{i_j}e_{i_j}) = \sum\limits_{j = 0}^{n_i}t_{i_j}x_{i_j}, \ \ \forall (t_{i_0}, t_{i_1}, \ldots, t_{i_{n_i}}) = \sum\limits_{j = 0}^{n_i}t_{i_j}e_{i_j}\in \Delta_{n_i}. \end{align} (4.6)

    Therefore, (X_i; \sigma_{N_i}) forms a WPH -space. By (4.6), we have \sigma_{N_i}(\Delta_{n_i}) = \mbox{co}(N_i) for each i\in\Omega and each N_i = \{x_{i_0}, x_{i_1}, \ldots, x_{i_{n_i}}\}\in \langle X_i\rangle . Thus, we get

    T\bigg{(}\prod\limits_{i\in\Omega}\sigma_{N_i}(\Delta_{n_i})\bigg{)} = T\bigg{(}\prod\limits_{i\in\Omega}\mbox{co}(N_i)\bigg{)}.

    Now, we prove that T\in\widetilde{B}(X, Y) . Indeed, for each i\in\Omega , each N_i\in \langle X_i\rangle with |N_i| = n_i+1 and for each single-valued continuous mapping \Psi:T(\prod_{i\in\Omega}\sigma_{N_i}(\Delta_{n_i}))\rightarrow \prod_{i\in\Omega}\Delta_{n_i} , by the assumption of T , we know that the composition \Psi\circ T|_{\prod_{i\in \Upsilon}\sigma_{N_i}(\Delta_{n_i})}\circ \Phi:C\rightarrow 2^C is an upper semicontinuous set-valued mapping with nonempty compact convex values, where C = \prod_{i\in\Omega}\Delta_{n_i} , \Phi(z) = \prod_{i\in\Omega}\sigma_{N_i}(\pi_i(z)) for every z\in C and \pi_i is the projection of C onto \Delta_{n_i} . For each i\in\Omega , let E_i be the linear hull of the set \{e_{i_j}:j = 0, 1, \ldots, n_i\} . Then E_i is a locally convex Hausdorff topological vector space as it is finite dimensional and \Delta_{n_i} is compact convex subset of E_i . Let E = \prod_{i\in\Omega}E_i . Then E is also a Hausdorff locally convex topological vector space and C = \prod_{i\in\Omega}\Delta_{n_i} is a compact convex subset of E . So, by Fan-Glicksberg fixed point theorem (see Theorem 1 in Fan [41]), there exists \widehat{z}\in C such that \widehat{z}\in \Psi\circ T|_{\prod_{i\in \Omega}\sigma_{N_i}(\Delta_{n_i})}\circ \Phi(\widehat{z}) , which implies that T\in \widetilde{\mathscr{B}}(X, Y) . The rest of proof is the same as the proof of Theorem 4.9. Therefore, by Theorem 4.4, FCCPP has a solution. This completes the proof.

    Taking X = Y and T(x) = \{x\} for every x\in X , we can derive the following existence theorem of solutions to FCFPP from Theorem 4.4.

    Theorem 4.12. Let \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of WPH -spaces such that X = :\prod_{i\in\Omega}X_i is a Hausdorff topological space, where \Omega is a finite or infinite index set. Let I_{X} be the identity mapping on X and I_X\in\widetilde{\mathscr{B}}(X, X) . For each i\in\Omega , let \alpha_i:X\rightarrow [0, 1) be a function and let H_i:X\rightarrow {\mathscr{F}}(X_i) and P_i:X\rightarrow {\mathscr{F}}(Z_i) be two fuzzy mappings such that the following conditions hold:

    (i) For each x\in X , (H_{i_x})_{\alpha_i(x)} is WPH -convex relative to (P_{i_x})_{\alpha_i(x)} ;

    (ii) There exists a nonempty subset Z_i^0 of Z_i such that \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{x\in X:P_{i_x}(z_i) > \alpha_i(x)\}]^c\subseteq \bigcup_{z_i\in Z_i}\mbox{cint}\{x\in X:P_{i_x}(z_i) > \alpha_i(x)\} , where \bigcap_{z_i\in Z_i^0}[\mbox{cint}\{x\in X:P_{i_x}(z_i) > \alpha_i(x)\}]^c is a nonempty compact subset of X or an empty set, and for each Q_i\in \langle Z_i\rangle , there exists a nonempty subset L_{Q_i} of X_i , which is WPH -convex relative to some Z_i^{'}\subseteq Z_i such that Z_i^0\bigcup Q_i\subseteq Z_i^{'} and L_Q is compact, where L_Q = \prod_{i\in\Omega}L_{Q_i} .

    Then FCFPP has a solution.

    Remark 4.13. By Lemma 2.1 of Al-Homidan and Ansari [33], one can see that Theorem 4.12 generalizes Theorem 3.3 of Al-Homidan and Ansari [33] from topological semilattice spaces to WPH -spaces and from set-valued mappings to fuzzy mappings. So, combining Remark 3.4 of Al-Homidan and Ansari [33], it is known that Theorem 4.12 extends Theorem 3.2 of Lan and Webb [47], Theorem 3.1 of Lin et al. [48], and Theorem 2.1 of Singh et al. [49] to WPH -spaces and fuzzy mappings.

    If X = Y and T(x) = \{x\} for every x\in X , then we have the following theorem as a common consequence of Theorems 4.9 and 4.11.

    Theorem 4.14. Let \{X_i|i\in\Omega\} be a family of Hausdorff topological vector spaces, where \Omega is a finite or infinite index set. Let X = \prod_{i\in\Omega}X_i . For each i\in\Omega , let \alpha_i:X\rightarrow [0, 1) be a function and let H_i:X\rightarrow {\mathscr{F}}(X_i) and P_i:X\rightarrow {\mathscr{F}}(X_i) be two fuzzy mappings such that the following conditions hold:

    (i) For each x\in X , \mbox{co}((P_{i_x})_{\alpha_i(x)})\subseteq (H_{i_x})_{\alpha_i(x)} ;

    (ii) There exists a nonempty subset X_i^0 which is contained in a compact convex subset \widetilde{X}_i of X_i such that \bigcap_{y_i\in X_i^0}[\mbox{cint}\{x\in X:P_{i_x}(y_i) > \alpha_i(x)\}]^c\subseteq \bigcup_{y_i\in X_i}\mbox{cint}\{x\in X:P_{i_x}(y_i) > \alpha_i(x)\} , where \bigcap_{y_i\in X_i^0}[\mbox{cint}\{x\in X:P_{i_x}(y_i) > \alpha_i(x)\}]^c is a nonempty compact subset of X or an empty set.

    Then FCFPP has a solution.

    In Corollary 4.3, if X = Y and T(x) = \{x\} for every x\in X , then Corollary 4.3 reduces to the following corollary.

    Corollary 4.15. Let \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of WPH -spaces such that X = \prod_{i\in\Omega}X_i is a compact Hausdorff topological space, where \Omega is a finite or infinite index set. Let I_X\in\widetilde{\mathscr{B}}(X, X) be the identity mapping on X . For each i\in\Omega , let \alpha_i:X\rightarrow [0, 1) be a function and let H_i:X\rightarrow {\mathscr{F}}(X_i) and P_i:X\rightarrow {\mathscr{F}}(Z_i) be two fuzzy mappings such that the following conditions hold:

    (i) For each x\in X , (H_{i_x})_{\alpha_i(x)} is WPH -convex relative to (P_{i_x})_{\alpha_i(x)} ;

    (ii) X = \bigcup_{z_i\in Z_i}\mbox{cint}\{x\in X:P_{i_x}(z_i) > \alpha_i(x)\} .

    Then FCFPP has a solution.

    By Corollary 4.15, we have the following existence theorem of solutions to FCFPP.

    Theorem 4.16. Let \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of WPH -spaces such that X = \prod_{i\in\Omega}X_i is a compact Hausdorff topological space, where \Omega is a finite or infinite index set. Let I_X\in\widetilde{\mathscr{B}}(X, X) be the identity mapping on X . For each i\in\Omega , let \alpha_i:X\rightarrow [0, 1) be a function and let H_i:X\rightarrow {\mathscr{F}}(X_i) and P_i:X\rightarrow {\mathscr{F}}(Z_i) be a fuzzy mapping such that the following conditions hold:

    (i) H_i is WPH - P_i -quasiconcave on X ;

    (ii) X = \bigcup_{z_i\in Z_i}\mbox{cint}\{x\in X:P_{i_x}(z_i) > \alpha_i(x)\} .

    Then FCFPP has a solution. Furthermore, if, for each i\in\Omega , the function (x, y_i)\mapsto H_{i_x}(y_i) is upper semicontinuous on X\times X_i and for each i\in\Omega and each fixed y_i\in X_i , the function x\mapsto H_{i_x}(y_i) is lower semicontinuous on X , then there exists \widehat{x}\in X such that, for each i\in\Omega , H_{i_{\widehat{x}}}(\widehat{x}_i) = \mbox{max}_{y_i\in X_i}H_{i_{\widehat{x}}}(y_i) .

    Proof. In order to apply Corollary 4.15, we only show that (H_{i_x})_{\alpha_i(x)} is WPH -convex relative to (P_{i_x})_{\alpha_i(x)} for every i\in\Omega and every x\in X . We proceed by contradiction. Suppose that there exist i\in \Omega , x\in X , N_i = \{z_{i_0}, z_{i_1}, \ldots, z_{i_{n_i}}\}\in \langle Z_i\rangle and \{z_{i_{j_0}}, z_{i_{j_1}}, \ldots, z_{i_{j_{k_i}}}\}\subseteq N_i\bigcap(P_{i_x})_{\alpha_i(x)} such that \sigma_{N_i}(\Delta_{k_i})\not\subseteq(H_{i_x})_{\alpha_i(x)} . Then there exists q_i\in\sigma_{N_i}(\Delta_{k_i}) such that y_i\notin(H_{i_x})_{\alpha_i(x)} ; i.e., H_{i_x}(y_i)\leq\alpha_i(x) . Since \{z_{i_{j_0}}, z_{i_{j_1}}, \ldots, z_{i_{j_{k_i}}}\}\subseteq N_i\bigcap(P_{i_x})_{\alpha_i(x)} , it follows that P_{i_x}(z_{i_{j_l}}) > \alpha_i(x) for every l\in\{0, 1, \ldots, k_i\} . By (i), we obtain the following contradiction

    \alpha_i(x)\geq H_{i_x}(y_i)\geq \min\limits_{0\leq l\leq k_i}P_{i_x}(z_{i_{j_l}}) > \alpha_i(x),

    which implies that (H_{i_x})_{\alpha_i(x)} is WPH -convex relative to (P_{i_x})_{\alpha_i(x)} for every i\in\Omega and every x\in X . Therefore, it follows from Corollary 4.15 that the first part of the conclusion of Theorem 4.16 holds.

    Now, we prove that the second part of the conclusion of Theorem 4.16 holds. For each i\in\Omega , let us define a function \rho_i:X\rightarrow [0, 1] by \rho_i(x) = \max\limits_{y_i\in X_i}H_{i_x}(y_i) for every x\in X , which is well defined since for each i\in\Omega and each x\in X , H_{i_x}(y_i) is upper semicontinuous function on the compact set X_i . By Theorem 1 of Aubin [50, p. 67] and the fact that the function (x, y_i)\mapsto H_{i_x}(y_i) is upper semicontinuous on X\times X_i for every i\in\Omega , we know that \rho_i is upper semicontinuous on X . For each i\in\Omega and each n\in \{1, 2, \ldots, \} , we define a set-valued mapping W_{(i, n)}:X\rightarrow 2^{X_i} as follows:

    W_{(i, n)}(x) = \{y_i\in X_i:H_{i_x}(y_i) > \rho_i(x)-\frac{1}{n}\}, \ \ \forall\ x\in X.

    Then W_{(i, n)}(x) is nonempty for every i\in\Omega , every n\in \{1, 2, \ldots, \} and every x\in X . Therefore, we have

    \begin{align} X = \bigcup\limits_{y_i\in X_i}W_{(i, n)}^{-1}(y_i). \end{align} (4.7)

    Applying (i) and the argument similar to that in the proof of the first part, we can prove that W_{(i, n)}(x) is a WPH -convex subspace of (X_i; \sigma_{N_i}) for every i\in\Omega , every n\in \{1, 2, \ldots, \} and every x\in X . For each i\in\Omega , each n\in \{1, 2, \ldots, \} and each y_i\in X_i , we have

    W_{(i, n)}^{-1}(y_i) = \{x\in X:H_{i_x}(y_i) > \rho_i(x)-\frac{1}{n}\}.

    Since for each i\in\Omega and each fixed y_i\in X_i , the function x\mapsto H_{i_x}(y_i) is lower semicontinuous on X and \rho_i is upper semicontinuous on X , it follows that W_{(i, n)}^{-1}(y_i) is open in X . By (4.7) and the compactness of X , there exists \{y_{(i, n)}^0, y_{(i, n)}^1, \ldots, y_{(i, n)}^{m(i, n)}\}\in \langle X_i\rangle such that

    X = \bigcup\limits_{j = 0}^{m(i, n)}W_{(i, n)}^{-1}(y_{(i, n)}^j),

    where m(i, n) is a positive integer. Let \{\eta_j\}_{j = 0}^{m(i, n)} be the continuous partition of unity subordinated to the open cover \{W_{(i, n)}^{-1}(y_{(i, n)}^j)|j = 0, 1, \ldots, m(i, n)\} ; i.e.,

    \begin{eqnarray*} \left\{ \begin{array}{ll} \eta_j:X\rightarrow [0, 1] \ \mbox{is continuous for every} \ j\in\{0, 1, \ldots, m(i, n)\}; \\ \eta_j(x) > 0\Rightarrow x\in W_{(i, n)}^{-1}(y_{(i, n)}^j);\\ \sum_{j = 0}^{m(i, n)}\eta_j(x) = 1\ \mbox{for every}\ x\in X. \end{array} \right. \end{eqnarray*}

    Subsequently, we define a continuous mapping \eta_{(i, n)}:X\rightarrow \Delta_{m(i, n)} by \eta_{(i, n)}(x) = \sum_{j = 0}^{m(i, n)}\eta_j(x)e_j for every x\in X . Then we have \eta_{(i, n)}(x) = \sum_{j\in J(x)}\eta_j(x)e_j\in \Delta_{|J(x)|-1} for every x\in X , where J(x): = \{j\in \{0, 1, \ldots, m(i, n)\}:\eta_j(x) > 0\} . For the finite set \{y_{(i, n)}^0, y_{(i, n)}^1, \ldots, y_{(i, n)}^{m(i, n)}\} , by the definition of a WPH -space, there exists an upper semicontinuous set-valued mapping \sigma_{(i, n)}:\Delta_{m(i, n)}\rightarrow 2^{X_i} . Consider an upper semicontinuous set-valued mapping f_{(i, n)}:X\rightarrow 2^{X_i} defined by f_{(i, n)}(x) = \sigma_{(i, n)}(\eta_{(i, n)}(x)) for every x\in X . By the fact that W_{(i, n)}(x) is a WPH -convex subspace of (X_i; \sigma_{N_i}) , we can easily verify that f_{(i, n)}(x) = \sigma_{(i, n)}(\eta_{(i, n)}(x))\subseteq W_{(i, n)}(x) for every i\in\Omega , every n\in \{1, 2, \ldots, \} , and every x\in X .

    For each n\in \{1, 2, \ldots, \} , a set-valued mapping \Phi_n:C(n)\rightarrow2^X and a continuous mapping \Psi_n:X\rightarrow C(n) are defined by \Phi_n(z) = \prod_{i\in\Omega}\sigma_{(i, n)}(\pi_i(z)) for every z\in C(n) and by \Psi_n(x) = \prod_{i\in\Omega}\eta_{(i, n)}(x) for every x\in X , respectively, where C(n) = \prod_{i\in\Omega}\Delta_{m_{(i, n)}} and \pi_i:C(n)\rightarrow \Delta_{m_{(i, n)}} is the projection of C(n) onto \Delta_{m_{(i, n)}} . Since I_X\in \widetilde{\cal B}(X, X) , it follows that, for each n\in \{1, 2, \ldots, \} , the composition \Psi_n\circ\Phi_n:C(n)\rightarrow 2^{C(n)} has a fixed point, which implies that there exists \widehat{z}_n\in C(n) such that \widehat{z}_n\in \Psi_n\circ\Phi_n(\widehat{z}_n) . Then there exists \widehat{x}_n\in \Phi_n(\widehat{z}_n) such that \widehat{z}_n = \Psi_n(\widehat{x}_n) for every n\in \{1, 2, \ldots, \} and thus, for each n\in \{1, 2, \ldots, \} , we have

    \begin{eqnarray*} \widehat{x}_n& = &(\widehat{x}_{(i, n)})_{i\in\Omega}\in\Phi_n(\widehat{z}_n) = \Phi_n\circ\Psi_n(\widehat{x}_n) = \Phi_n\bigg{(}\prod\limits_{i\in\Omega}\eta_{(i, n)}(\widehat{x}_n)\bigg{)}\\ & = &\prod\limits_{i\in\Omega}\sigma_{(i, n)}\bigg{(}\pi_i\bigg{(}\prod\limits_{i\in\Omega}\eta_{(i, n)}(\widehat{x}_n)\bigg{)}\bigg{)}\\ & = &\prod\limits_{i\in\Omega}(\sigma_{(i, n)}\circ\eta_{(i, n)})(\widehat{x}_n). \end{eqnarray*}

    It follows that \widehat{x}_{(i, n)}\in (\sigma_{(i, n)}\circ\eta_{(i, n)})(\widehat{x}_n)\subseteq W_{(i, n)}(\widehat{x}_n) for every i\in\Omega and every n\in \{1, 2, \ldots, \} . By the definition of W_{(i, n)} , we get H_{i_{\widehat{x}_n}}(\widehat{x}_{(i, n)}) > \rho_i(\widehat{x}_n)-\frac{1}{n} . By the compactness of X , without loss of generality, we may assume that \widehat{x}_n\rightarrow \widehat{x} , that is, \widehat{x}_{(i, n)}\rightarrow \widehat{x}_i for every i\in\Omega . Since the function x\mapsto H_{i_x}(y_i) is lower semicontinuous on X for every i\in\Omega and every fixed y_i\in X_i , it follows that \rho_i is also lower semicontinuous on X . Therefore, by this fact and the condition that the function (x, y_i)\mapsto H_{i_x}(y_i) is upper semicontinuous on X\times X_i , we have, for each i\in\Omega ,

    \begin{eqnarray*} H_{i_{\widehat{x}}}(\widehat{x}_i)&\geq&\varlimsup_{n\rightarrow \infty}H_{i_{\widehat{x}_n}}(\widehat{x}_{(i, n)}) \geq\varlimsup_{n\rightarrow \infty}(\rho_i(\widehat{x}_n)-\frac{1}{n})\\ &\geq&\varliminf_{n\rightarrow \infty}(\rho_i(\widehat{x}_n)-\frac{1}{n})\\ &\geq&\rho_i(\widehat{x}) = \max\limits_{y_i\in X_i}H_{i_{\widehat{x}}}(y_i). \end{eqnarray*}

    Hence, H_{i_{\widehat{x}}}(\widehat{x}_i) = \mbox{max}_{y_i\in X_i}H_{i_{\widehat{x}}}(y_i) for every i\in\Omega . The proof is complete.

    In this section, if not specified, for convenience we may assume from now on that every upper semicontinuous set-valued mapping \sigma_{N_i} from a standard simplex to a topological space involved in WPH -spaces has nonempty compact values. By Theorem 3.4, we establish new existence theorems of equilibria for the generalized fuzzy games and generalized fuzzy qualitative games in the framework of noncompact WPH -spaces. Before doing so, we need to explain the relevant issues as follows.

    Let \Omega be a finite or an infinite set of agents. For each i\in \Omega , let X_i and Z_i be the sets of actions available to the agent i . Let X = \prod_{i\in \Omega} X_i . A generalized fuzzy game is a family of ordered quintuple \Gamma = (X_i, Z_i, A_i, B_i, F_i, P_i, a_i, b_i, c_i, p_i)_{i\in \Omega} , where A_i:X\rightarrow {\mathscr{F}}(Z_i) , B_i, F_i:X\rightarrow {\mathscr{F}}(X_i) are fuzzy constraint mappings and P_i:X\times X\rightarrow {\mathscr{F}}(Z_i) is a fuzzy preference mapping. An equilibrium of \Gamma is a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{x}_i\in (B_{i_{\widehat{x}}})_{a_i(\widehat{x})} , \widehat{y}_i\in (F_{i_{\widehat{x}}})_{b_i(\widehat{x})} and (A_{i_{\widehat{x}}})_{c_i(\widehat{x})}\bigcap(P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})} = \emptyset , where a_i, b_i, c_i:X\rightarrow [0, 1) and p_i:X\times X\rightarrow [0, 1) are fuzzy constraint functions. For each i\in \Omega , let A_{i_{c_i}}^{-1}:Z_i\rightarrow 2^X be defined by A_{i_{c_i}}^{-1}(z_i) = \{x\in X:A_{i_x}(z_i) > c_i(x)\} for every z_i\in Z_i . Using the same approach, we can define F_{i_{b_i}}^{-1}:X_i\rightarrow 2^X and P_{i_{p_i}}^{-1}:Z_i\rightarrow 2^{X\times X} . We call \Gamma = (X_i, Z_i, F_i, P_i, b_i, p_i)_{i\in \Omega} a generalized fuzzy qualitative game if for each i\in \Omega , X_i and Z_i are the sets of actions available to the agent i , F_i:X\rightarrow {\mathscr{F}}(X_i) is a fuzzy constraint mapping, and P_i:X\times X\rightarrow {\mathscr{F}}(Z_i) is a fuzzy preference mapping. An equilibrium of \Gamma = (X_i, Z_i, F_i, b_i, P_i)_{i\in \Omega} is a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{y}_i\in (F_{i_{\widehat{x}}})_{b_i(\widehat{x})} and (P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})} = \emptyset . If the constraint set-valued mappings A_i, B_i, F_i and the preference mapping P_i are defined by using the i th characteristic functions, and a_i\equiv b_i\equiv c_i\equiv p_i\equiv 0 , then the equilibrium for generalized fuzzy games (respectively, generalized fuzzy qualitative games) implies the equilibrium for generalized games (respectively, generalized qualitative games).

    Remark 5.1. Our definitions of generalized fuzzy games extend the corresponding definitions of the games in [16,33,42,48,49,50,51,52,53] to fuzzy settings, and also generalize the definition of the generalized fuzzy games due to Kim and Lee [9].

    Remark 5.2. As remarked in [9], the fuzzy constraint and preference mappings are very useful in the process of analysing real economic models. In fact, the constraint and preference sets of each player have fuzzy behavioral characteristics in the generalized games in strategic markets. In order to obtain the possible small cores, Aubin [50] introduced the concepts of fuzzy market cooperative games and fuzzy coalitions by embedding set of coalitions identified with \{0, 1\}^n into the subset [0, 1]^n of fuzzy coalitions. Therefore, as the same way, the concepts of generalized fuzzy game and generalized fuzzy qualitative game can provide useful frameworks for analysing fuzzy behaviors of the market economies.

    As an application of Theorem 3.4, we are ready to prove the following existence theorem of equilibria for generalized fuzzy games in noncompact WPH -spaces.

    Theorem 5.3. Let \Omega be a set of agents (finite or infinite) and \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let \Gamma = (X_i, Z_i, A_i, B_i, F_i, P_i, a_i, b_i, c_i, p_i)_{i\in \Omega} be a generalized fuzzy game and I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , where I_{\Pi_{i\in \Omega}(X_i\times X_i)} is the identity mapping on \Pi_{i\in \Omega}(X_i\times X_i) . For each i\in \Omega , let \overline{P}_i:X\times X\rightarrow {\mathscr{F}}(X_i) , \overline{F}_i:X\rightarrow {\mathscr{F}}(Z_i) be two fuzzy mappings and let l_i:X\rightarrow [0, 1) , m_i:X\times X\rightarrow [0, 1) be two fuzzy sets. For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in X , (B_{i_{x}})_{a_i(x)} is WPH -convex relative to (A_{i_{x}})_{c_i(x)} ;

    (ii) For each x\in X , (F_{i_{x}})_{b_i(x)} is WPH -convex relative to (\overline{F}_{i_{x}})_{l_i(x)} ;

    (iii) For each (x, y)\in W_i , x_i\notin \mbox{WPH}((\overline{P}_{i_{(x, y)}})_{m_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)}) , where W_i = \{(x, y)\in X\times X: (A_{i_{x}})_{c_i(x)}\bigcap(P_{i_{(x, y)}})_{p_i(x, y)}\neq\emptyset\} ;

    (iv) There exist two nonempty subsets Z_i^0 and Z_i^1 of Z_i such that

    \bigcup\limits_{(u_i, v_i)\in Z_i\times Z_i}\mbox{cint}\{((A_{i_{c_i}}^{-1}(u_i)\bigcap \overline{F}_{i_{l_i}}^{-1}(v_i))\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{(u_i, v_i)\in Z_i^0\times Z_i^1}[\mbox{cint}\{((A_{i_{c_i}}^{-1}(u_i)\bigcap \overline{F}_{i_{l_i}}^{-1}(v_i))\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X\times X or an empty set, and for each Q_i, M_i\in \langle Z_i\rangle , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some Z_i'\subseteq Z_i\times Z_i and (Z_i^0\times Z_i^1)\bigcup (Q_i\times M_i)\subseteq Z_i' .

    Then there exists a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{x}_i\in (B_{i_{\widehat{x}}})_{a_i(\widehat{x})} , \widehat{y}_i\in (F_{i_{\widehat{x}}})_{b_i(\widehat{x})} and (A_{i_{\widehat{x}}})_{c_i(\widehat{x})}\bigcap(P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})} = \emptyset .

    Proof. For each i\in \Omega and each \widetilde{N}_i = \{(z^i_{0}, w^i_{0}), (z^i_{1}, w^i_{1}), \ldots, (z^i_{n_i}, w^i_{n_i})\}\in \langle Z_i\times Z_i\rangle , it follows from the definition of a WPH -space that there exist two upper semicontinuous set-valued mappings \sigma_{\pi^l(\widetilde{N}_i)}:\Delta_{n_i}\rightarrow 2^{X_i} and \sigma_{\pi^r(\widetilde{N}_i)}:\Delta_{n_i}\rightarrow 2^{X_i} , which have nonempty compact values. For each i\in \Omega , we define a set-valued mapping \sigma_{\pi^l(\widetilde{N}_i)}\times\sigma_{\pi^r(\widetilde{N}_i)}:\Delta_{n_i}\rightarrow 2^{X_i\times X_i} by

    (\sigma_{\pi^l(\widetilde{N}_i)}\times\sigma_{\pi^r(\widetilde{N}_i)})(p) = \sigma_{\pi^l(\widetilde{N}_i)}(p)\times\sigma_{\pi^r(\widetilde{N}_i)}(p), \ \ \forall\ p\in \Delta_{n_i},

    where \pi^l(\widetilde{N}_i) (respectively, \pi^r(\widetilde{N}_i) ) denotes the projection of \widetilde{N}_i onto the left (respectively, right) of Z_i\times Z_i . Then it follows from Lemma 3 due to Fan [41] that the set-valued mapping \sigma_{\pi^l(\widetilde{N}_i)}\times\sigma_{\pi^r(\widetilde{N}_i)} is upper semicontinuous and has nonempty compact values. Thus, one can see that \{(X_i\times X_i, Z_i\times Z_i; \sigma_{\pi^l(\widetilde{N}_i)}\times\sigma_{\pi^r(\widetilde{N}_i)})|i\in\Omega\} forms a family of WPH -spaces.

    For each i\in \Omega , defne two set-valued mappings S_i:X\times X\rightarrow 2^{Z_i\times Z_i} and T_i:X\times X\rightarrow 2^{X_i\times X_i} by setting, for every (x, y)\in X\times X ,

    \begin{eqnarray*} S_i(x, y) = \left\{ \begin{array}{ll} [(P_{i_{(x, y)}})_{p_i(x, y)}\bigcap (A_{i_{x}})_{c_i(x)}]\times (\overline{F}_{i_{x}})_{l_i(x)}, \ & \mbox{if}\ (x, y)\in W_i, \\ (A_{i_{x}})_{c_i(x)}\times (\overline{F}_{i_{x}})_{l_i(x)}, \ & \mbox{if}\ (x, y)\in W_i^c, \end{array} \right. \end{eqnarray*}

    and

    \begin{eqnarray*} \ \ \ \ \ T_i(x, y) = \left\{ \begin{array}{ll} [WPH((\overline{P}_{i_{(x, y)}})_{m_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)})\bigcap(B_{i_{x}})_{a_i(x)}]\times (F_{i_{x}})_{b_i(x)}, \ & \\ \mbox{if}\ (x, y)\in W_i, \\ (B_{i_{x}})_{a_i(x)}\times (F_{i_{x}})_{b_i(x)}, \ &\\ \mbox{if}\ (x, y)\in W_i^c, \end{array} \right. \end{eqnarray*}

    respectively. Now, we show that T_i(x, y) is WPH -convex relative to S_i(x, y) for every i\in \Omega and every (x, y)\in W_i . In fact, for each i\in \Omega , each (x, y)\in W_i , each \widetilde{N}_i = \{(z^i_{0}, w^i_{0}), (z^i_{1}, w^i_{1}), \ldots, (z^i_{n_i}, w^i_{n_i})\}\in \langle Z_i\times Z_i\rangle , and each \{(z^i_{j_0}, w^i_{j_0}), (z^i_{j_{1}}, w^i_{j_1}), \ldots, (z^i_{j_{k_i}}, w^i_{j_{k_i}})\}\subseteq S_i(x, y)\bigcap \{(z^i_{0}, w^i_{0}), (z^i_{1}, w^i_{1}), \ldots, (z^i_{n_i}, w^i_{n_i})\} , we get

    \{z^i_{j_0}, z^i_{j_1}, \ldots, z^i_{j_{k_i}}\}\subseteq (P_{i_{(x, y)}})_{p_i(x, y)}\bigcap\{z^i_{0}, z^i_{1}, \ldots, z^i_{n_i}\} = (P_{i_{(x, y)}})_{p_i(x, y)}\bigcap\pi^l(\widetilde{N}_i),
    \{z^i_{j_0}, z^i_{j_1}, \ldots, z^i_{j_{k_i}}\}\subseteq (A_{i_{x}})_{c_i(x)}\bigcap\{z^i_{0}, z^i_{1}, \ldots, z^i_{n_i}\} = (A_{i_{x}})_{c_i(x)}\bigcap\pi^l(\widetilde{N}_i), \ \mbox{and}
    \{w^i_{j_0}, w^i_{j_1}, \ldots, w^i_{j_{k_i}}\}\subseteq (\overline{F}_{i_{x}})_{l_i(x)}\bigcap\{w^i_{0}, w^i_{1}, \ldots, w^i_{n_i}\} = (\overline{F}_{i_{x}})_{l_i(x)}\bigcap\pi^r(\widetilde{N}_i).

    Then by (i), (ii), and the definition of a WPH -hull, we have

    \sigma_{\pi^l(\widetilde{N}_i)}(\Delta_{k_i})\subseteq WPH((\overline{P}_{i_{(x, y)}})_{m_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)})\bigcap(B_{i_{x}})_{a_i(x)}\ \\ \mbox{and}\ \sigma_{\pi^r(\widetilde{N}_i)}(\Delta_{k_i})\subseteq (F_{i_{x}})_{b_i(x)}.

    It follows that \sigma_{\widetilde{N}_i}(\Delta_{k_i}) = \sigma_{\pi^l(\widetilde{N}_i)}(\Delta_{k_i})\times \sigma_{\pi^r(\widetilde{N}_i)}(\Delta_{k_i}) . Thus, we have

    \sigma_{\widetilde{N}_i}(\Delta_{k_i})\subseteq (WPH((\overline{P}_{i_{(x, y)}})_{m_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)})\bigcap(B_{i_{x}})_{a_i(x)})\times (F_{i_{x}})_{b_i(x)}

    which implies that T_i(x, y) is WPH -convex relative to S_i(x, y) for every i\in \Omega and every (x, y)\in W_i . The same method can be used to prove that T_i(x, y) is WPH -convex relative to S_i(x, y) for every i\in \Omega and every (x, y)\in W_i^c . Therefore, these two scenarios lead to the conclusion that T_i(x, y) is WPH -convex relative to S_i(x, y) for every i\in \Omega and every (x, y)\in X\times X .

    For each i\in \Omega and each (u_i, v_i)\in Z_i\times Z_i , we have

    \begin{eqnarray*} S_i^{-1}(u_i, v_i)& = &(P_{i_{p_i}}^{-1}(u_i)\bigcap(A_{i_{c_i}}^{-1}(u_i)\times X)\bigcap(\overline{F}_{i_{b_i}}^{-1}(v_i)\times X))\\ &&\bigcup(W_i^c\bigcap(A_{i_{c_i}}^{-1}(u_i)\times X)\bigcap(\overline{F}_{i_{b_i}}^{-1}(v_i)\times X))\\ & = &((A_{i_{c_i}}^{-1}(u_i)\bigcap \overline{F}_{i_{b_i}}^{-1}(v_i))\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c). \end{eqnarray*}

    According to (iv), for each i\in\Omega , there exists a nonempty subset Z_i^0\times Z_i^1 of Z_i\times Z_i such that

    \bigcap\limits_{(u_i, v_i)\in Z_i^0\times Z_i^1}(\mbox{cint}S_i^{-1}(u_i, v_i))^c\subseteq \bigcup\limits_{(u_i, v_i)\in Z_i\times Z_i}\mbox{cint}S_i^{-1}(u_i, v_i).

    For each i\in\Omega , setting \widehat{K}_i: = \bigcap_{(u_i, v_i)\in Z_i^0\times Z_i^1}(\mbox{cint}S_i^{-1}(u_i, v_i))^c , we have

    \widehat{K}_i\subseteq \bigcup\limits_{(u_i, v_i)\in Z_i\times Z_i}\mbox{cint}S_i^{-1}(u_i, v_i),

    where \widehat{K}_i is a nonempty compact subset of X\times X or an empty set. If \widehat{K}_i is nonempty compact for every i\in\Omega , then there exist Q_i\in \langle Z_i\rangle and M_i\in \langle Z_i\rangle such that

    \begin{align} \widehat{K}_i\subseteq \bigcup\limits_{(u_i, v_i)\in Q_i\times M_i}\mbox{cint}S_i^{-1}(u_i, v_i). \end{align} (5.1)

    Thus, by (5.1), we have

    \begin{eqnarray*} X\times X& = &(X\times X\setminus \widehat{K}_i)\bigcup \widehat{K}_i\\ & = &\bigg{(}\bigcup\limits_{(u_i, v_i)\in Z_i^0\times Z_i^1}\mbox{cint}S_i^{-1}(u_i, v_i)\bigg{)}\bigcup\bigg{(}\bigcup\limits_{(u_i, v_i)\in Q_i\times M_i}\mbox{cint}S_i^{-1}(u_i, v_i)\bigg{)}\\ & = &\bigcup\limits_{(u_i, v_i)\in (Z_i^0\times Z_i^1)\cup (Q_i\times M_i)}\mbox{cint}S_i^{-1}(u_i, v_i). \end{eqnarray*}

    If \widehat{K}_i = \emptyset , then for every Q_i\in \langle Z_i\rangle and every M_i\in \langle Z_i\rangle , we have

    \begin{align} X\times X = \bigcup\limits_{(u_i, v_i)\in Z_i^0\times Z_i^1}\mbox{cint}S_i^{-1}(u_i, v_i) = \bigcup\limits_{(u_i, v_i)\in (Z_i^0\times Z_i^1)\cup (Q_i\times M_i)}\mbox{cint}S_i^{-1}(u_i, v_i). \end{align} (5.2)

    Therefore, (5.2) holds for each i\in\Omega and the finite sets Q_i and M_i in (5.1). By (iv) again, for each i\in\Omega and the finite sets Q_i and M_i , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i\times X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some Z_i'\subseteq Z_i\times Z_i and (Z_i^0\times Z_i^1)\bigcup (Q_i\times M_i)\subseteq Z_i' . Let L_Q = \prod_{i\in I}L_{Q_i} and L_M = \prod_{i\in I}L_{M_i} . Hence, by (5.2), we have

    \begin{align} L_Q\times L_M\subseteq X\times X = \bigcup\limits_{(u_i, v_i)\in Z_i^{'}} \mbox{cint}S_i^{-1}(u_i, v_i). \end{align} (5.3)

    Observe that \{(L_{Q_i}\times L_{M_i}, Z_i{'}; \sigma_{\pi^l(\widetilde{N}_i)}\times\sigma_{\pi^r(\widetilde{N}_i)})|i\in\Omega\} is a family of WPH -spaces. For each i\in\Omega , define two set-valued mappings S_i':L_Q\times L_M\rightarrow 2^{Z_i{'}} and T_i':L_Q\times L_M\rightarrow 2^{L_{Q_i}\times L_{M_i}} by

    S_i'(x, y) = S_i(x, y)\bigcap Z_i{'}\ \mbox{and}\ T_i'(x, y) = T_i(x, y)\bigcap (L_{Q_i}\times L_{M_i}), \ \ \forall\ (x, y)\in L_Q\times L_M.

    Now, we check all the conditions of Theorem 3.4 for S_i' and T_i' . It is obvious that L_Q\times L_M is a nonempty compact subset of X\times X . By (5.3), we have

    \begin{eqnarray*} L_Q\times L_M& = &\bigg{(}\bigcup\limits_{(u_i, v_i)\in Z_i^{'}} \mbox{cint}S_i^{-1}(u_i, v_i)\bigg{)}\bigcap \bigg{(}L_Q\times L_M\bigg{)}\\ & = &\bigcup\limits_{(u_i, v_i)\in Z_i^{'}} \mbox{int}_{L_Q\times L_M}(S_i^{-1}(u_i, v_i)\bigcap (L_Q\times L_M))\\ & = &\bigcup\limits_{(u_i, v_i)\in Z_i^{'}}\mbox{int}_{L_Q\times L_M}S_i'^{-1}(u_i, v_i). \end{eqnarray*}

    We show that T_i'(x, y) is WPH -convex relative to S_i'(x, y) for every i\in \Omega and every (x, y)\in L_Q\times L_M . In fact, since (L_{Q_i}\times L_{M_i}, Z_i{'}; \sigma_{\pi^l(\widetilde{N}_i)}\times\sigma_{\pi^r(\widetilde{N}_i)}) is a WPH -space and T_i(x, y) is WPH -convex relative to S_i(x, y) for every i\in \Omega and every (x, y)\in X\times X , it follows that for each (x, y)\in L_Q\times L_M , each \widetilde{N}_i = \{(z^i_{0}, w^i_{0}), (z^i_{1}, w^i_{1}), \ldots, (z^i_{n_i}, w^i_{n_i})\}\in \langle Z_i{'}\rangle , and each \{(z^i_{j_0}, w^i_{j_0}), (z^i_{j_{1}}, w^i_{j_1}), \ldots, (z^i_{j_{k_i}}, w^i_{j_{k_i}})\}\subseteq S_i'(x, y)\bigcap\widetilde{N}_i = S_i(x, y)\bigcap Z_i{'}\bigcap \widetilde{N}_i , we have \sigma_{\widetilde{N}_i}(\Delta_{k_i}) = \sigma_{\pi^l(\widetilde{N}_i)}(\Delta_{k_i})\times \sigma_{\pi^r(\widetilde{N}_i)}(\Delta_{k_i})\subseteq T_i(x, y)\bigcap (L_{Q_i}\times L_{M_i}) = T_i'(x, y) . So, by Theorem 3.4, for each i\in \Omega , there exist \widetilde{N}^*_i = \{(z^i_{0}, w^i_{0}), (z^i_{1}, w^i_{1}), \ldots, (z^i_{n_i}, w^i_{n_i})\}\in \langle Z_i{'}\rangle and an upper semicontinuous set-valued mapping f_i:L_Q\times L_M\rightarrow 2^{L_{Q_i}\times L_{M_i}} such that f_i = \sigma_{\widetilde{N}^*_i}\circ\beta_i and f_i(x, y) = \sigma_{\widetilde{N}^*_i}(\beta_i(x, y))\subseteq T_i'(x, y) for every (x, y)\in L_Q\times L_M , where \sigma_{\widetilde{N}^*_i}:\Delta_{n_i}\rightarrow 2^{L_{Q_i}\times L_{M_i}} is an upper semicontinuous set-valued mapping with nonempty compact values, \beta_i:L_Q\times L_M\rightarrow \Delta_{n_i} is a continuous single-valued mapping, and n_i is a positive integer. Further, we define a set-valued mapping \Phi:C\rightarrow2^{\prod_{i\in \Omega}(L_{Q_i}\times L_{M_i})} by

    \begin{align} \Phi(z) = \prod\limits_{i\in\Omega}\bigg{(}\sigma_{\pi^l(\widetilde{N}^*_i)}\pi_i(z)\times\sigma_{\pi^r(\widetilde{N}^*_i)}\pi_i(z)\bigg{)} \end{align} (5.4)

    for every z\in C and a continuous mapping \Psi:\prod_{i\in \Omega}(L_{Q_i}\times L_{M_i})\rightarrow C by

    \begin{align} \Psi((x_i, y_i)_{i\in \Omega}) = (\beta_i((x_i)_{i\in\Omega}, (y_i)_{i\in\Omega}))_{i\in\Omega}, \ \ \forall\ (x, y)\in \prod\limits_{i\in \Omega}(L_{Q_i}\times L_{M_i}), \end{align} (5.5)

    where C = \prod_{i\in\Omega}\Delta_{n_i} and \pi_i:C\rightarrow \Delta_{n_i} is the projection of C onto \Delta_{n_i} . Since I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , it follows that I|_{\prod_{i\in \Omega}(L_{Q_i}\times L_{M_i})}\in\widetilde{\mathscr{DB}}(\prod_{i\in \Omega}(L_{Q_i}\times L_{M_i}), \prod_{i\in \Omega}(L_{Q_i}\times L_{M_i})) and thus, the composition \Psi\circ\Phi:C\rightarrow 2^{C} has a fixed point, which implies that there exists \widehat{z}\in C such that \widehat{z}\in \Psi\circ\Phi(\widehat{z}) . Hence, there exists (\widehat{x}_i, \widehat{y}_i)_{i\in \Omega}\in\Phi(\widehat{z}) such that \widehat{z} = \Psi((\widehat{x}_i, \widehat{y}_i)_{i\in \Omega}) and thus, by (5.4) and (5.5), we have

    \begin{eqnarray*} (\widehat{x}_i, \widehat{y}_i)_{i\in \Omega}&\in&\Phi(\widehat{z}) = \Phi(\Psi((\widehat{x}_i, \widehat{y}_i)_{i\in \Omega})) = \Phi((\beta_i((\widehat{x}_i)_{i\in\Omega}, (\widehat{y}_i)_{i\in\Omega}))_{i\in\Omega})\\ & = &\prod\limits_{i\in\Omega}\bigg{(}\sigma_{\pi^l(\widetilde{N}^*_i)}(\beta_i((\widehat{x}_i)_{i\in\Omega}, (\widehat{y}_i)_{i\in\Omega}))\times\sigma_{\pi^r(\widetilde{N}^*_i)}(\beta_i((\widehat{x}_i)_{i\in\Omega}, (\widehat{y}_i)_{i\in\Omega}))\bigg{)}\\ & = &\prod\limits_{i\in\Omega}(\sigma_{\pi^l(\widetilde{N}^*_i)}\times\sigma_{\pi^r(\widetilde{N}^*_i)})(\beta_i((\widehat{x}_i)_{i\in\Omega}, (\widehat{y}_i)_{i\in\Omega}))\\ & = &\prod\limits_{i\in\Omega}\sigma_{\widetilde{N}^*_i}(\beta_i(\widehat{x}, \widehat{y}))\subseteq \prod\limits_{i\in\Omega}T_i'(\widehat{x}, \widehat{y}). \end{eqnarray*}

    This, together with the definition of T_i' , implies that (\widehat{x}_i, \widehat{y}_i)\in T_i(\widehat{x}, \widehat{y}) for every i\in \Omega . If (\widehat{x}, \widehat{y})\in W_i for some i\in \Omega , then we have

    \begin{align} (\widehat{x}_i, \widehat{y}_i)\in (WPH((\overline{P}_{i_{(\widehat{x}, \widehat{y})}})_{m_i(\widehat{x}, \widehat{y})}, (P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})})\bigcap(B_{i_{\widehat{x}}})_{a_i(\widehat{x})})\times (F_{i_{\widehat{x}}})_{b_i(\widehat{x})}. \end{align} (5.6)

    By (5.6), \widehat{x}_i\in WPH((\overline{P}_{i_{(\widehat{x}, \widehat{y})}})_{m_i(\widehat{x}, \widehat{y})}, (P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})})\bigcap(B_{i_{\widehat{x}}})_{a_i(\widehat{x})} and thus, \widehat{x}_i\in WPH((\overline{P}_{i_{(\widehat{x}, \widehat{y})}})_{m_i(\widehat{x}, \widehat{y})}, (P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})}) , which contradicts (iii). Therefore, we must have that (\widehat{x}, \widehat{y})\in W_i^c for every i\in \Omega . By the definitions of W_i^c and T_i(x, y) , we know that for each i\in \Omega , \widehat{x}_i\in (B_{i_{\widehat{x}}})_{a_i(\widehat{x})} , \widehat{y}_i\in (F_{i_{\widehat{x}}})_{b_i(\widehat{x})} and (A_{i_{\widehat{x}}})_{c_i(\widehat{x})}\bigcap(P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})} = \emptyset . This completes the proof.

    Corollary 5.4. Let \Omega be a set of agents (finite or infinite) and \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let \Gamma = (X_i, Z_i, A_i, B_i, F_i, P_i, a_i, b_i, c_i, p_i)_{i\in \Omega} be a generalized fuzzy game and I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , where I_{\Pi_{i\in \Omega}(X_i\times X_i)} is the identity mapping on \Pi_{i\in \Omega}(X_i\times X_i) . For each i\in \Omega , let \overline{P}_i:X\times X\rightarrow {\mathscr{F}}(X_i) , \overline{F}_i:X\rightarrow {\mathscr{F}}(Z_i) be two fuzzy mappings and let l_i:X\rightarrow [0, 1) , m_i:X\times X\rightarrow [0, 1) be two fuzzy sets. For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in X , (B_{i_{x}})_{a_i(x)} is WPH -convex relative to (A_{i_{x}})_{c_i(x)} ;

    (ii) For each x\in X , (F_{i_{x}})_{b_i(x)} is WPH -convex relative to (\overline{F}_{i_{x}})_{l_i(x)} ;

    (iii) For each (x, y)\in W_i , x_i\notin \overline{WPH((\overline{P}_{i_{(x, y)}})_{m_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)})} , where W_i = \{(x, y)\in X\times X: (A_{i_{x}})_{c_i(x)}\bigcap(P_{i_{(x, y)}})_{p_i(x, y)}\neq\emptyset\} ;

    (iv) There exist two nonempty subsets Z_i^0 and Z_i^1 of Z_i such that

    \bigcup\limits_{(u_i, v_i)\in Z_i\times Z_i}\mbox{cint}\{((A_{i_{c_i}}^{-1}(u_i)\bigcap \overline{F}_{i_{l_i}}^{-1}(v_i))\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{(u_i, v_i)\in Z_i^0\times Z_i^1}[\mbox{cint}\{((A_{i_{c_i}}^{-1}(u_i)\bigcap \overline{F}_{i_{l_i}}^{-1}(v_i))\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X\times X or an empty set, and for each Q_i, M_i\in \langle Z_i\rangle , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some Z_i'\subseteq Z_i\times Z_i and (Z_i^0\times Z_i^1)\bigcup (Q_i\times M_i)\subseteq Z_i' .

    Then there exists a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{x}_i\in (B_{i_{\widehat{x}}})_{a_i(\widehat{x})} , \widehat{y}_i\in (F_{i_{\widehat{x}}})_{b_i(\widehat{x})} and (A_{i_{\widehat{x}}})_{c_i(\widehat{x})}\bigcap(P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})} = \emptyset .

    Proof. By (iii), we have x_i\notin WPH((\overline{P}_{i_{(x, y)}})_{m_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)}) for every (x, y)\in W_i , where W_i = \{(x, y)\in X\times X: (A_{i_{x}})_{c_i(x)}\bigcap(P_{i_{(x, y)}})_{p_i(x, y)}\neq\emptyset\} . Therefore, by Theorem 5.3, the conclusion of Corollary 5.4 holds. This completes the proof.

    As a direct consequence of Theorem 5.3, we have the following existence theorem of equilibria for generalized fuzzy qualitative games in noncompact WPH -spaces.

    Theorem 5.5. Let \Omega be a set of agents (finite or infinite) and \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let \Gamma = (X_i, Z_i, F_i, P_i, b_i, p_i)_{i\in \Omega} be a generalized fuzzy game and I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , where I_{\Pi_{i\in \Omega}(X_i\times X_i)} is the identity mapping on \Pi_{i\in \Omega}(X_i\times X_i) . For each i\in \Omega , let \overline{P}_i:X\times X\rightarrow {\mathscr{F}}(X_i) , \overline{F}_i:X\rightarrow {\mathscr{F}}(Z_i) be two fuzzy mappings and let l_i:X\rightarrow [0, 1) , m_i:X\times X\rightarrow [0, 1) be two fuzzy sets. For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in X , (F_{i_{x}})_{b_i(x)} is WPH -convex relative to (\overline{F}_{i_{x}})_{l_i(x)} ;

    (ii) For every (x, y)\in W_i = \{(x, y)\in X\times X: (P_{i_{(x, y)}})_{p_i(x, y)}\neq\emptyset\} , x_i\notin \mbox{WPH}((\overline{P}_{i_{(x, y)}})_{m_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)}) ;

    (iii) There exist two nonempty subsets Z_i^0 and Z_i^1 of Z_i such that

    \bigcup\limits_{(u_i, v_i)\in Z_i\times Z_i}\mbox{cint}\{(\overline{F}_{i_{b_i}}^{-1}(v_i)\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{(u_i, v_i)\in Z_i^0\times Z_i^1}[\mbox{cint}\{(\overline{F}_{i_{b_i}}^{-1}(v_i)\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X\times X or an empty set, and for each Q_i, M_i\in \langle Z_i\rangle , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some Z_i'\subseteq Z_i\times Z_i and (Z_i^0\times Z_i^1)\bigcup (Q_i\times M_i)\subseteq Z_i' .

    Then there exists a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{y}_i\in (F_{i_{\widehat{x}}})_{b_i(\widehat{x})} and (P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})} = \emptyset .

    Proof. For each i\in I , let (A_{i_{x}})_{c_i(x)}\equiv Z_i and (B_{i_{x}})_{a_i(x)}\equiv X_i for every x\in X . Then we have A_{i_{c_i}}^{-1}(z_i) = B_{i_{a_i}}^{-1}(x_i) = X for every i\in I , every z_i\in Z_i , and every x_i\in X_i . Therefore, by Theorem 5.3, the conclusion of Theorem 5.5 holds. This completes the proof.

    As a special case of Theorem 5.3, we can obtain the following existence theorem of equilibria for generalized fuzzy games in noncompact WPH -spaces.

    Theorem 5.6. Let \Omega be a set of agents (finite or infinite) and \{(X_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let \Gamma = (X_i, A_i, B_i, F_i, P_i, a_i, b_i, c_i, p_i)_{i\in \Omega} be a generalized fuzzy game and I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , where I_{\Pi_{i\in \Omega}(X_i\times X_i)} is the identity mapping on \Pi_{i\in \Omega}(X_i\times X_i) . For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in X , (B_{i_{x}})_{a_i(x)} is WPH -convex relative to (A_{i_{x}})_{c_i(x)} ;

    (ii) For each x\in X , (F_{i_{x}})_{b_i(x)} is a WPH -convex subspace of (X_i; \sigma_{N_i}) ;

    (iii) For each (x, y)\in W_i , x_i\notin WPH((P_{i_{(x, y)}})_{p_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)}) , where W_i = \{(x, y)\in X\times X: (A_{i_{x}})_{c_i(x)}\bigcap(P_{i_{(x, y)}})_{p_i(x, y)}\neq\emptyset\} ;

    (iv) There exist two nonempty subsets X_i^0 and X_i^1 of X_i such that

    \bigcup\limits_{(u_i, v_i)\in X_i\times X_i}\mbox{cint}\{((A_{i_{c_i}}^{-1}(u_i)\bigcap F_{i_{b_i}}^{-1}(v_i))\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{(u_i, v_i)\in X_i^0\times X_i^1}[\mbox{cint}\{((A_{i_{c_i}}^{-1}(u_i)\bigcap F_{i_{b_i}}^{-1}(v_i))\times X)\bigcap (P_{i_{p_i}}^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X\times X or an empty set, and for each Q_i, M_i\in \langle X_i\rangle , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some X_i'\subseteq X_i\times X_i and (X_i^0\times X_i^1)\bigcup (Q_i\times M_i)\subseteq X_i' .

    Then there exists a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{x}_i\in (B_{i_{\widehat{x}}})_{a_i(\widehat{x})} , \widehat{y}_i\in (F_{i_{\widehat{x}}})_{b_i(\widehat{x})} and (A_{i_{\widehat{x}}})_{c_i(\widehat{x})}\bigcap(P_{i_{(\widehat{x}, \widehat{y})}})_{p_i(\widehat{x}, \widehat{y})} = \emptyset .

    Proof. For each i\in I , let X_i = Z_i , \overline{P}_i = P_i , \overline{F}_i = F_i , p_i = m_i , and b_i = l_i . Then the conclusion of Theorem 5.6 holds from Theorem 5.3. This completes the proof.

    Remark 5.7. (1) If X_i is a compact Hausdorff WPH -space for every i\in \Omega , then we can see that (iv) of Theorem 5.6 is trivially fulfilled by letting X_i^0 = X_i^1 = L_{Q_i} = L_{M_i} = X_i and X_i' = X_i\times X_i .

    (2) If (P_{i_{(x, y)}})_{p_i(x, y)} is a WPH -convex subspace of (X_i; \sigma_{N_i}) for every i\in\Omega and every (x, y)\in X\times X , then based on the fact that WPH((P_{i_{(x, y)}})_{p_i(x, y)}, (P_{i_{(x, y)}})_{p_i(x, y)}) = (P_{i_{(x, y)}})_{p_i(x, y)} , (iii) of Theorem 5.6 can be replaced by the following condition:

    (iii) ' For each (x, y)\in W_i = \{(x, y)\in X\times X: (A_{i_{x}})_{c_i(x)}\bigcap(P_{i_{(x, y)}})_{p_i(x, y)}\neq\emptyset\} , x_i\notin (P_{i_{(x, y)}})_{p_i(x, y)} .

    (3) Theorem 5.6 generalizes Theorem 4.2 of Al-Homidan and Ansari [33] in the following aspects: (a) From crisp settings to fuzzy settings; (b) From topological semilattice spaces to WPH -spaces without any linear and convex structure. In fact, by Lemma 2.1 of Al-Homidan and Ansari [33], we can see that every topological semilattice space is a WPH -space; (c) (ii) of Theorem 4.2 due to Al-Homidan and Ansari [33] is dropped; (d) (iii) of Theorem 5.6 is weaker than (iii) of Theorem 4.2 of Al-Homidan and Ansari [33].

    (4) Theorem 5.6 improves and extends Theorem 9 of Khanh and Quan [51] in the following aspects: (a) From crisp settings to fuzzy settings; (b) From KKM -structure with compact Hausdorff topological spaces to noncompact Hausdorff WPH -spaces. In fact, from Definition 1 of Khanh and Quan [51], it is easy to see that KKM -structures introduced by Khanh and Quan [51] are special cases of WPH -spaces; (c) From the games with one constraint set-valued mapping to the generalized fuzzy games with three constraint set-valued mappings; (d) (iii) of Theorem 5.6 is weaker than (iii) of Theorem 9 of Khanh and Quan [51]. In addition, it should be pointed out that the proof of Theorem 5.6 is based on the upper semicontinuous selection and collectively fixed point methods, while the proof of Theorem 9 due to Khanh and Quan [51] is based on systems of variational relation method.

    In Theorems 5.3, 5.5 and 5.6, if the fuzzy constrain set-valued mappings are defined by the characteristic functions and the fuzzy constraint functions are defined by the functions whose values are constant zero, then we have the following existence theorems of equilibria for the generalized games and generalized qualitative games in crisp settings. We omit their proofs.

    Theorem 5.8. Let \Omega be a set of agents (finite or infinite), \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces, and let \Gamma = (X_i, Z_i, A_i, B_i, F_i, P_i)_{i\in \Omega} be a generalized game. Let I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , where I_{\Pi_{i\in \Omega}(X_i\times X_i)} is the identity mapping on \Pi_{i\in \Omega}(X_i\times X_i) . For each i\in \Omega , let \overline{P}_i:X\times X\rightarrow 2^{X_i} and \overline{F}_i:X\rightarrow 2^{Z_i} be two set-valued mappings. For each i\in \Omega , assume that the following conditions are fulfilled:

    (i) For each x\in X , B_i(x) is WPH -convex relative to A_i(x) ;

    (ii) For each x\in X , F_i(x) is WPH -convex relative to \overline{F}_i(x) ;

    (iii) For each (x, y)\in W_i , x_i\notin \mbox{WPH}(\overline{P}_i(x, y), P_i(x, y)) , where W_i = \{(x, y)\in X\times X: A_i(x)\bigcap P_i(x, y)\neq\emptyset\} ;

    (iv) There exist two nonempty subsets Z_i^0 and Z_i^1 of Z_i such that

    \bigcup\limits_{(u_i, v_i)\in Z_i\times Z_i}\mbox{cint}\{((A_{i}^{-1}(u_i)\bigcap \overline{F}_{i}^{-1}(v_i))\times X)\bigcap (P_{i}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{(u_i, v_i)\in Z_i^0\times Z_i^1}[\mbox{cint}\{((A_{i}^{-1}(u_i)\bigcap \overline{F}_{i}^{-1}(v_i))\times X)\bigcap (P_{i}^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X\times X or an empty set, and for each Q_i, M_i\in \langle Z_i\rangle , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some Z_i'\subseteq Z_i\times Z_i and (Z_i^0\times Z_i^1)\bigcup (Q_i\times M_i)\subseteq Z_i' .

    Then there exists a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{x}_i\in B_i(\widehat{x}) , \widehat{y}_i\in F_i(\widehat{x}) and A_i(\widehat{x})\bigcap P_i(\widehat{x}, \widehat{y}) = \emptyset .

    Theorem 5.9. Let \Omega be a set of agents (finite or infinite) and \{(X_i, Z_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let \Gamma = (X_i, Z_i, F_i, P_i)_{i\in \Omega} be a generalized qualitative game and I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , where I_{\Pi_{i\in \Omega}(X_i\times X_i)} is the identity mapping on \Pi_{i\in \Omega}(X_i\times X_i) . For each i\in \Omega , let \overline{P}_i:X\times X\rightarrow 2^{X_i} and \overline{F}_i:X\rightarrow 2^{Z_i} be two set-valued mappings. For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in X , F_i(x) is WPH -convex relative to \overline{F}_i(x) ;

    (ii) For each (x, y)\in W_i , x_i\notin \mbox{WPH}(\overline{P}_i(x, y), P_i(x, y)) , where W_i = \{(x, y)\in X\times X: P_i(x, y)\neq\emptyset\} ;

    (iii) There exist two nonempty subsets Z_i^0 and Z_i^1 of Z_i such that

    \bigcup\limits_{(u_i, v_i)\in Z_i\times Z_i}\mbox{cint}\{(\overline{F}_{i}^{-1}(v_i)\times X)\bigcap (P_{i}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{(u_i, v_i)\in Z_i^0\times Z_i^1}[\mbox{cint}\{(\overline{F}_{i}^{-1}(v_i)\times X)\bigcap (P_{i}^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X\times X or an empty set, and for each Q_i, M_i\in \langle Z_i\rangle , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some Z_i'\subseteq Z_i\times Z_i and (Z_i^0\times Z_i^1)\bigcup (Q_i\times M_i)\subseteq Z_i' .

    Then there exists a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{y}_i\in F_i(\widehat{x}) and P_i(\widehat{x}, \widehat{y}) = \emptyset .

    Theorem 5.10. Let \Omega be a set of agents (finite or infinite) and \{(X_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let \Gamma = (X_i, A_i, B_i, F_i, P_i)_{i\in \Omega} be a generalized game and I_{\Pi_{i\in \Omega}(X_i\times X_i)}\in \widetilde{\cal DB}(\Pi_{i\in \Omega}(X_i\times X_i), \Pi_{i\in \Omega}(X_i\times X_i)) , where I_{\Pi_{i\in \Omega}(X_i\times X_i)} is the identity mapping on \Pi_{i\in \Omega}(X_i\times X_i) . For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in X , B_i(x) is WPH -convex relative to A_i(x) ;

    (ii) For each x\in X , F_i(x) is a nonempty WPH -convex subspace of (X_i; \sigma_{N_i}) ;

    (iii) For each (x, y)\in W_i , x_i\notin WPH(P_i(x, y), P_i(x, y)) , where W_i = \{(x, y)\in X\times X: A_i(x)\bigcap P_i(x, y)\neq\emptyset\} ;

    (iv) There exist two nonempty subsets X_i^0 and X_i^1 of X_i such that

    \bigcup\limits_{(u_i, v_i)\in X_i\times X_i}\mbox{cint}\{((A_{i}^{-1}(u_i)\bigcap F_{i}^{-1}(v_i))\times X)\bigcap (P_{i}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{(u_i, v_i)\in X_i^0\times X_i^1}[\mbox{cint}\{((A_{i}^{-1}(u_i)\bigcap F_{i}^{-1}(v_i))\times X)\bigcap (P_{i}^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X\times X or an empty set, and for each Q_i, M_i\in \langle X_i\rangle , there exist nonempty compact subsets L_{Q_i}, L_{M_i} of X_i such that L_{Q_i}\times L_{M_i} is WPH -convex relative to some X_i'\subseteq X_i\times X_i and (X_i^0\times X_i^1)\bigcup (Q_i\times M_i)\subseteq X_i' .

    Then there exists a point (\widehat{x}, \widehat{y})\in X\times X such that for each i\in \Omega , \widehat{x}_i\in B_i(\widehat{x}) , \widehat{y}_i\in F_i(\widehat{x}) and A_i(\widehat{x})\bigcap P_i(\widehat{x}, \widehat{y}) = \emptyset .

    In Theorem 5.10, when P_i(x, y) = P_i(x) and F_i(x)\equiv X_i for every i\in\Omega and every (x, y)\in X\times X , we can easily obtain the following existence theorem of equilibria for generalized games in the framework of noncompact WPH -spaces.

    Theorem 5.11. Let \Omega be a set of agents (finite or infinite) and \{(X_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let X = \prod_{i\in\Omega}X_i , \Gamma = (X_i, A_i, B_i, P_i)_{i\in \Omega} be a generalized game, and I_{X}\in \widetilde{\cal B}(X, X) , where I_{X} is the identity mapping on X . For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in X , B_i(x) is WPH -convex relative to A_i(x) ;

    (ii) For each x\in W_i , x_i\notin WPH(P_i(x), P_i(x)) , where W_i = \{x\in X: A_i(x)\bigcap P_i(x)\neq\emptyset\} ;

    (iii) There exists a nonempty subset X_i^0 of X_i such that

    \bigcup\limits_{u_i\in X_i}\mbox{cint}\{A_{i}^{-1}(u_i)\bigcap (P_{i}^{-1}(u_i)\bigcup W_i^c)\}

    contains \bigcap_{u_i\in X_i^0}[\mbox{cint}\{A_i^{-1}(u_i)\bigcap (P_i^{-1}(u_i)\bigcup W_i^c)\}]^c which is a nonempty compact subset of X or an empty set, and for each Q_i\in \langle X_i\rangle , there exists a nonempty compact subset L_{Q_i} of X_i , which is WPH -convex relative to some X_i'\subseteq X_i such that X_i^0\bigcup Q_i\subseteq X_i' .

    Then there exists a point \widehat{x}\in X such that for each i\in \Omega , \widehat{x}_i\in B_i(\widehat{x}) and A_i(\widehat{x})\bigcap P_i(\widehat{x}) = \emptyset .

    Remark 5.12. (1) The proof of Theorem 5.11 is similar to that of Theorem 5.3 in crisp settings. Since hypothesis that (X_i\times X_i; \sigma_{\pi^l(\widetilde{N}_i)}\times\sigma_{\pi^r(\widetilde{N}_i)}) is a WPH -space for every i\in \Omega is not needed in the proof process of theorem 5.11, it follows that this hypothesis, together with the hypothesis that \sigma_{N_i} has nonempty compact values for every i\in \Omega , does not appear in Theorem 5.11.

    (2) Theorem 5.11 extends and generalizes Corollary 4.1 of Al-Homidan and Ansari [33] to WPH -spaces. Theorem 5.11 is also an improved variant of Corollary 5.1 of Lin et al. [48], Theorem 2 of Ansari and Yao [46], and Theorem 4.1 of Tarafdar [42] in noncompact WPH -spaces.

    If A_i(x) = B_i(x) = X_i for every i\in\Omega and every x\in X , then by Theorem 5.11, we have the following corollary.

    Corollary 5.13. Let \Omega be a set of agents (finite or infinite) and \{(X_i; \sigma_{N_i})|i\in\Omega\} be a family of Hausdorff WPH -spaces. Let X = \prod_{i\in\Omega}X_i , \Gamma = (X_i, P_i)_{i\in \Omega} be a qualitative game, and I_{X}\in \widetilde{\cal B}(X, X) , where I_{X} is the identity mapping on X . For each i\in \Omega , assume that the following conditions hold:

    (i) For each x\in W_i , x_i\notin WPH(P_i(x), P_i(x)) , where W_i = \{x\in X: P_i(x)\neq\emptyset\} ;

    (ii) There exists a nonempty subset X_i^0 of X_i such that

    \bigcup\limits_{u_i\in X_i}\mbox{cint}(P_{i}^{-1}(u_i)\bigcup W_i^c)

    contains \bigcap_{u_i\in X_i^0}[\mbox{cint}(P_i^{-1}(u_i)\bigcup W_i^c)]^c which is a nonempty compact subset of X or an empty set, and for each Q_i\in \langle X_i\rangle , there exists a nonempty compact subset L_{Q_i} of X_i , which is WPH -convex relative to some X_i'\subseteq X_i such that X_i^0\bigcup Q_i\subseteq X_i' .

    Then there exists a point \widehat{x}\in X such that for each i\in \Omega , P_i(\widehat{x}) = \emptyset .

    Example 5.14. We are in position to apply Corollary 5.13 to the equilibrium analysis of water allocation problems characterized by multiobjective non-cooperative games. Suppose that there are n water users ( n\geq 2 ) that can draw water from a common water body for domestic and agricultural needs. For each i\in \{1, 2, \ldots, n\} , let us denote (q_i, r_i) the combination of quantities collected by the i th water user, which corresponds to two different uses, where (q_i, r_i)\in [0, k_i]\times [0, l_i] = S_i\subseteq \mathbb{R}^2 and k_i, l_i > 0 . In fact, from here we can consider S_i to be the strategy space of the i th water user, and (q_i, r_i) can be seen as a strategy in that strategy space.

    The payoff function for each water user is a two-dimensional vector-valued function, where the first component corresponds to the amount of water for domestic needs and represents improvements in health and agricultural production. We may assume that the first part of the vector-valued payoff function for every water user i is expressed as b_iq_i-c_i(\sum_{i = 1}^nq_i+\sum_{i = 1}^nr_i) , where b_iq_i represents the benefit of water user i , which is proportional to b_i with b_i > 0 ; c_i(\sum_{i = 1}^nq_i+\sum_{i = 1}^nr_i) is the cost function of water user i . The second part of the vector-valued payoff function for every water user i is the market profit, which is proportional to the total water quantity q_i+r_i and to the inverse demand function D(\sum_{i = 1}^nq_i+\sum_{i = 1}^nr_i) . Considering a marginal cost function that is the same for every water user i and is denoted by m , the vector-valued payoff function for every water user i is:

    \begin{equation*} f_i((q_1, r_1), (q_2, r_2), \ldots, (q_i, r_i), \ldots, (q_n, r_n)) =\\ \left( \begin{array}{ccc} b_iq_i-c_i(\sum_{i = 1}^nq_i+\sum_{i = 1}^nr_i)\\ (q_i+r_i)(D(\sum_{i = 1}^nq_i+\sum_{i = 1}^nr_i)-m) \end{array} \right). \end{equation*}

    Before introducing the equilibrium concepts of the multiobjective water resource allocation game model as above, we need several notation for later use. For each i\in \{1, 2, \ldots, n\} , we denote S_{\widehat{i}}: = \prod_{j\neq i}S_j . If (q, r) = ((q_1, r_1), (q_2, r_2), \ldots, (q_i, r_i), \ldots, (q_n, r_n))\in S , then we write

    (q_{\widehat{i}}, r_{\widehat{i}}): = ((q_1, r_1), \ldots, (q_{i-1}, r_{i-1}), (q_{i+1}, r_{i+1}), \ldots, (q_n, r_n))\in S_{\widehat{i}}

    for every i\in \{1, 2, \ldots, n\} . If (q_i, r_i)\in S_i , (z_i, p_i)\in S_i and (q_{\widehat{i}}, r_{\widehat{i}})\in S_{\widehat{i}} , then we use the following notation:

    ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i)): = ((q_1, r_1), (q_2, r_2), \ldots, (q_i, r_i), \ldots, (q_n, r_n)) = (q, r)\in S

    and

    ((q_{\widehat{i}}, r_{\widehat{i}}), (z_i, p_i)): = ((q_1, r_1), \ldots, (q_{i-1}, r_{i-1}), (z_i, p_i), (q_{i+1}, r_{i+1}), \ldots, (q_n, r_n))\in S.

    We denote by \mathbb{R}_{+}^2: = \{x: = (x_1, x_2)\in \mathbb{R}^2:x_1, x_2\geq 0\} . For each u, v\in \mathbb{R}^2 , u\cdot v denotes the standard Euclidian inner product.

    Now, we introduce the concepts of equilibrium for the above multi-objective game model. A strategy n -tuple (q^*, r^*) = ((q_1^*, r_1^*), (q_2^*, r_2^*), \ldots, (q_n^*, r_n^*))\in S is said to be a Pareto equilibrium of this game model if for every water user i\in \{1, 2, \ldots, n\} , there is no strategy (q_i, r_i)\in S_i such that

    \begin{equation*} \left( \begin{array}{ccc} b_i(q_i-q_i^*)+c_i(\sum_{i = 1}^nq_i^*+\sum_{i = 1}^nr_i^*)\\ -c_i(\sum_{j\neq i}q_{j}^*+\sum_{j\neq i}r_{j}^*+q_i+r_i)\\ m(q_i^*-q_i+r_i^*-r_i)+(q_i+r_i)D(\sum_{j\neq i}q_j^*\\ +\sum_{j\neq i}r_j^*+q_i+r_i)-(q_i^*+r_i^*)D(\sum_{i = 1}^nq_i^*+\sum_{i = 1}^nr_i^*) \end{array} \right) \end{equation*}
    = f_i((q_{\widehat{i}}^*, r_{\widehat{i}}^*), (q_i, r_i))-f_i(q^*, r^*)\in \mathbb{R}_{+}^2\setminus \{0\}.

    For each i\in \{1, 2, \ldots, n\} , let \omega_i = \dbinom{\alpha_i}{\beta_i} be a weight vector with \alpha_i+\beta_i = 1 and \alpha_i, \beta_i > 0 , the components of which correspond to the components of the i -th water user's vector-valued payoff function f_i , respectively. A strategy n -tuple (q^*, r^*) = ((q_1^*, r_1^*), (q_2^*, r_2^*), \ldots, (q_n^*, r_n^*))\in S is called a normal weight Nash equilibrium with respect to weight vector \omega = (\omega_1, \omega_2, \ldots, \omega_n) if for each water user i and each (q_i, r_i)\in S_i , we have the following:

    \begin{eqnarray*} \omega_i\cdot f_i(q^*, r^*)& = &\alpha_i[b_iq_i^*-c_i(\sum\limits_{i = 1}^nq_i^*+\sum\limits_{i = 1}^nr_i^*)]+\beta_i(q_i^*+r_i^*)\\ & & (D(\sum\limits_{i = 1}^nq_i^*+\sum\limits_{i = 1}^nr_i^*)-m)\\ &\geq& \alpha_i[b_iq_i-c_i(\sum\limits_{j\neq i}q_j^*+\sum\limits_{j\neq i}r_j^*+q_i+r_i)]+\beta_i(q_i+r_i)\\ & & (D(\sum\limits_{j\neq i}q_j^*+\sum\limits_{j\neq i}r_j^*+q_i+r_i)-m)\\ & = &\omega_i\cdot f_i((q_{\widehat{i}}^*, r_{\widehat{i}}^*), (q_i, r_i)), \end{eqnarray*}

    where \cdot denotes the inner product in \mathbb{R}^2 .

    We give the following assumptions:

    Assumption 1: For each i\in \{1, 2, \ldots, n\} and each (q, r) = ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i))\in S , the set of points (z_i, p_i)\in S_i satisfying the following condition is a convex subset of S_i :

    \begin{eqnarray*} \omega_i\cdot f_i(q, r)& = &\alpha_i[b_iq_i-c_i(\sum\limits_{i = 1}^nq_i+\sum\limits_{i = 1}^nr_i)]\\ & &+\beta_i(q_i+r_i)(D(\sum\limits_{i = 1}^nq_i+\sum\limits_{i = 1}^nr_i)-m)\\ & < & \alpha_i[b_iz_i-c_i(\sum\limits_{j\neq i}q_j+\sum\limits_{j\neq i}r_j+z_i+p_i)]+\beta_i(z_i+p_i)\\ & &(D(\sum\limits_{j\neq i}q_j+\sum\limits_{j\neq i}r_j+z_i+p_i)-m)\\ & = &\omega_i\cdot f_i((q_{\widehat{i}}, r_{\widehat{i}}), (z_i, p_i)). \end{eqnarray*}

    Assumption 2: For each i\in \{1, 2, \ldots, n\} and each (q, r) = ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i))\in S , there exist a point (z_i, p_i)\in S_i and an open neighborhood U((q, r))\subseteq \mathbb{R}^2 such that for every (g, h) = ((g_{\widehat{i}}, h_{\widehat{i}}), (g_i, h_i))\in U((q, r))\bigcap S , there is no (z_i, p_i)\in S_i such that

    \begin{eqnarray*} \omega_i\cdot f_i(g, h)& = &\alpha_i[b_ig_i-c_i(\sum\limits_{i = 1}^ng_i+\sum\limits_{i = 1}^nh_i)]\\ & &+\beta_i(g_i+h_i)(D(\sum\limits_{i = 1}^ng_i+\sum\limits_{i = 1}^nh_i)-m)\\ & < & \alpha_i[b_iz_i-c_i(\sum\limits_{j\neq i}g_j+\sum\limits_{j\neq i}h_j+z_i+p_i)]+\beta_i(z_i+p_i)\\ & &(D(\sum\limits_{j\neq i}g_j+\sum\limits_{j\neq i}h_j+z_i+p_i)-m)\\ & = &\omega_i\cdot f_i((g_{\widehat{i}}, h_{\widehat{i}}), (z_i, p_i)) \end{eqnarray*}

    or there exists (z_i, p_i)\in S_i such that the above inequality holds.

    Assumption 1 states that for any water user i\in \{1, 2, \ldots, n\} and any strategy combination (q, r) , judging from the weighted combination of water user i 's vector-valued payoff function, the set of his/her strategy that strictly deviates from the strategy combination ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i)) is a convex subset of S_i . Assumption 2 means that for each water user i\in \{1, 2, \ldots, n\} and each strategy combination ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i)) , there exists a relatively open neighborhood of ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i)) such that for every point in this neighborhood, according to the judgment standard after the weighted combination of water user i 's vector-valued payoff function, either there is no deviation strategy, or there is at least one deviation strategy.

    We are ready to verify the conclusion that the multiobjective water resource allocation game model mentioned above has a Pareto equilibrium if Assumptions 1 and 2 are fulfilled. For each i\in \{1, 2, \ldots, n\} and each N_i = \{(q_{i_0}, r_{i_0}), (q_{i_1}, r_{i_1}), \ldots, (q_{i_{n_i}}, r_{i_{n_i}})\}\in \langle S_i\rangle , we define a continuous mapping

    \sigma_{N_i}:\Delta_{n_i}\rightarrow \mbox{co}(N_i)\subseteq S_i

    by \sigma_{N_i}(\sum_{j = 0}^{n_i}t_{i_j}e_{i_j}) = \sum_{j = 0}^{n_i}t_{i_j}(q_{i_j}, r_{i_j}) for every (t_{i_0}, t_{i_1}, \ldots, t_{i_{n_i}}) = \sum_{j = 0}^{n_i}t_{i_j}e_{i_j}\in \Delta_{n_i} . Clearly, one can see that (S_i; \sigma_{N_i}) forms a special case of WPH -space for every i\in \{1, 2, \ldots, n\} . For each i\in \{1, 2, \ldots, n\} and each N_i = \{(q_{i_0}, r_{i_0}), (q_{i_1}, r_{i_1}), \ldots, (q_{i_{n_i}}, r_{i_{n_i}})\}\in \langle S_i\rangle , there is a continuous mapping \sigma_{N_i}:\Delta_{n_i}\rightarrow \mbox{co}(N_i)\subseteq S_i as defined above. Let C = \prod_{i = 1}^n\Delta_{n_i} . For each i\in \{1, 2, \ldots, n\} , let V_i be be the linear hull of the set \{e_{i_0}, e_{i_1}, \ldots, e_{i_{n_i}}\} . Then for every i\in \{1, 2, \ldots, n\} , by the finite dimensionality of V_i , it is a Hausdorff locally convex topological vector space. Thus, V = \prod_{i = 1}^n V_i is also a Hausdorff locally convex topological vector space and C is a compact convex subset of V . Let I_S be the identity mapping on S . For each i\in \{1, 2, \ldots, n\} , each N_i = \{(q_{i_0}, r_{i_0}), (q_{i_1}, r_{i_1}), \ldots, (q_{i_{n_i}}, r_{i_{n_i}})\}\in \langle S_i\rangle , and each continuous mapping \Psi:I_S(\prod_{i\in\Omega}\sigma_{N_i}(\Delta_{n_i}))\rightarrow C . Define a continuous mapping \Phi:C\rightarrow S by \Phi(\xi) = \prod_{i = 1}^n\sigma_{N_i}(\pi_i(\xi)) for every \xi\in C , where \pi_i is the projection of C onto \Delta_{n_i} . Then it follows from the Tychonof fixed point theorem that the continuous mapping \Psi\circ I_S|_{\prod_{i\in\Omega}\sigma_{N_i}(\Delta_{n_i})}\circ \Phi:C\rightarrow C has a fixed point, which implies that I_{S}\in \widetilde{\cal B}(S, S) . For each i\in \{1, 2, \ldots, n\} , we define the i -th water user's deviation set-valued mapping \Theta_i:S\rightarrow 2^{S_i} by

    \Theta_i(q, r) = \{(z_i, p_i)\in S_i:\omega_i\cdot f_i((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i)) < \omega_i\cdot f_i((q_{\widehat{i}}, r_{\widehat{i}}), (z_i, p_i))\}

    for every (q, r) = ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i))\in S . Then by Assumption 1, we can see that the set \Theta_i(q, r) is a convex subset of S_i for every i\in \{1, 2, \ldots, n\} and every (q, r) = ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i))\in S . For each (q, r) = ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i))\in S , each i\in \{1, 2, \ldots, n\} , each N_i = \{(q_{i_0}, r_{i_0}), (q_{i_1}, r_{i_1}), \ldots, (q_{i_{n_i}}, r_{i_{n_i}})\}\in \langle S_i\rangle , and each ((q_{j_0}, r_{j_0}), (q_{j_1}, r_{j_1}), \ldots, (q_{j_{k_i}}, r_{j_{k_i}}))\subseteq N_i\bigcap \Theta_i(q, r) , we have

    \begin{eqnarray*} \sigma_{N_i}(\Delta_{k_i})& = &\mbox{co}(\{(q_{j_0}, r_{j_0}), (q_{j_1}, r_{j_1}), \ldots, (q_{j_{k_i}}, r_{j_{k_i}})\})\\ &\subseteq &\mbox{co}(\Theta_i(q, r))\\ &\subseteq &\Theta_i(q, r). \end{eqnarray*}

    This shows that \Theta_i(q, r) is a WPH -convex subspace of (S_i; \sigma_{N_i}) . Therefore, we have (q_i, r_i)\notin \Theta_i(q, r) = WPH(\Theta_i(q, r), \Theta_i(q, r)) for every (q, r) = ((q_{\widehat{i}}, r_{\widehat{i}}), (q_i, r_i))\in S and thus, (i) of Corollary 5.13 holds. Finally, we check that (ii) of Corollary 5.13 is satisfied. In fact, it follows from Assumption 2 that S = \bigcup_{(z_i, p_i)\in S_i}\mbox{int}(\Theta_{i}^{-1}((z_i, p_i))\bigcup W_i^c) = \bigcup_{(z_i, p_i)\in S_i}\mbox{cint}(\Theta_{i}^{-1}((z_i, p_i))\bigcup W_i^c) for every i\in \{1, 2, \ldots, n\} , where W_i = \{(q, r)\in S:\Theta_i(q, r)\neq\emptyset\} . For each i\in \{1, 2, \ldots, n\} and each Q_i\in \langle S_i\rangle , let L_{Q_i} = S_i = S_i' = S_i^0 and then, we can see that S_i^0\bigcup Q_i\subseteq S_i' and L_{Q_i} is WPH -convex relative to some S_i'\subseteq S_i . It is obvious that \bigcap_{(z_i, p_i)\in S_i^0}[\mbox{cint}(\Theta_i^{-1}((z_i, p_i))\bigcup W_i^c)]^c\subseteq S = \bigcup_{(z_i, p_i)\in S_i}\mbox{cint}(\Theta_{i}^{-1}((z_i, p_i))\bigcup W_i^c) . If \bigcap_{(z_i, p_i)\in S_i^0}[\mbox{cint}(\Theta_i^{-1}((z_i, p_i))\bigcup W_i^c)]^c\neq\emptyset , then it is a nonempty compact subset of S by the fact that it is a compactly closed subset of the compact set S . If \bigcap_{(z_i, p_i)\in S_i^0}[\mbox{cint}(\Theta_i^{-1}((z_i, p_i))\bigcup W_i^c)]^c = \emptyset , then (ii) of Corollary 5.13 holds automatically. So far, we have verified that all the hypotheses of Corollary 5.13 are fulfilled. Thus, it follows from Corollary 5.13 that there exists a strategy n -tuple (q^*, r^*) = ((q_1^*, r_1^*), (q_2^*, r_2^*), \ldots, (q_n^*, r_n^*))\in S such that for each i\in \{1, 2, \ldots, n\} , \Theta_i(q^*, r^*) = \emptyset , which implies that for each water user i and each (q_i, r_i)\in S_i ,

    \begin{eqnarray*} \omega_i\cdot f_i(q^*, r^*)& = &\alpha_i[b_iq_i^*-c_i(\sum\limits_{i = 1}^nq_i^*+\sum\limits_{i = 1}^nr_i^*)]+\beta_i(q_i^*+r_i^*)\\ & &(D(\sum\limits_{i = 1}^nq_i^*+\sum\limits_{i = 1}^nr_i^*)-m)\\ &\geq& \alpha_i[b_iq_i-c_i(\sum\limits_{j\neq i}q_j^*+\sum\limits_{j\neq i}r_j^*+q_i+r_i)]+\beta_i(q_i+r_i)\\ & &(D(\sum\limits_{j\neq i}q_j^*+\sum\limits_{j\neq i}r_j^*+q_i+r_i)-m)\\ & = &\omega_i\cdot f_i((q_{\widehat{i}}^*, r_{\widehat{i}}^*), (q_i, r_i)), \end{eqnarray*}

    that is, (q^*, r^*) = ((q_1^*, r_1^*), (q_2^*, r_2^*), \ldots, (q_n^*, r_n^*))\in S is a normal weight Nash equilibrium with respect to weight vector \omega = (\omega_1, \omega_2, \ldots, \omega_n) . Further, by using a method similar to that used to prove Lemma 5.1 due to Lu et al. [54], we can show that (q^*, r^*) = ((q_1^*, r_1^*), (q_2^*, r_2^*), \ldots, (q_n^*, r_n^*))\in S is a Pareto equilibrium of the multiobjective water resource allocation game model. We omit the proof.

    A WPH -space is characterized by the existence of an upper semicontinuous set-valued mapping from a simplex to a topological space, which is established through the medium of finite subsets of a nonempty set. Since the applications of selection theorems in crisp settings and in the framework of Hausdorff topological vector spaces are narrow, in order to eliminate the limitations and extend the applications of selection theorems, we prove an upper semicontinuous selection theorem for fuzzy mappings in WPH -spaces without linear structure. The validity of the upper semicontinuous selection theorem for fuzzy mappings is illustrated by an example. Furthermore, by using our upper semicontinuous selection results, we establish fuzzy collective coincidence point theorems, fuzzy collectively fixed point theorems, and existence theorems of equilibria for the generalized fuzzy games with three constraint set-valued mappings and generalized fuzzy qualitative games in noncompact WPH -spaces. In our opinions, future theoretical research should be focused on applying the upper semicontinuous selection theorems for fuzzy mappings to deal with the existence of solutions to systems of generalized fuzzy vector quasi-equilibrium problems, while in terms of practical applied research, the concepts of generalized fuzzy games and generalized fuzzy qualitative games can be applied to the model of socio-economic systems with coordination and hence, our existence results of equilibria for generalized fuzzy games and generalized fuzzy qualitative games can be useful tools for analyzing general equilibrium models of economic institutions, which contain most known types of institutions, for example, trade market, bilateral exchanges, supply chains, etc., as special cases.

    This work was supported by the Planning Foundation for Humanities and Social Sciences of Ministry of Education of China (No. 18YJA790058). The authors would like to express their thanks to the referees for their helpful comments and suggestions which improve the presentation of this paper.

    The authors declare that they have no competing interests.



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