Research article

Some new results on fuzzy soft r-minimal spaces

  • Received: 06 January 2022 Revised: 12 March 2022 Accepted: 21 March 2022 Published: 26 April 2022
  • MSC : 06D72, 54A40, 54C05, 54D30

  • As a weaker form of fuzzy soft r-minimal continuity by Taha (2021), the notions of fuzzy soft almost (respectively (resp. for short) weakly) r-minimal continuous mappings are introduced, and some properties are given. Also, we show that every fuzzy soft r-minimal continuity is fuzzy soft almost (resp. weakly) r-minimal continuity, but the converse need not be true. After that, we introduce a concept of continuity in a very general setting called fuzzy soft r-minimal (A,B,C,D)-continuous mappings and investigate some properties of these mappings.

    Citation: I. M. Taha. Some new results on fuzzy soft r-minimal spaces[J]. AIMS Mathematics, 2022, 7(7): 12458-12470. doi: 10.3934/math.2022691

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  • As a weaker form of fuzzy soft r-minimal continuity by Taha (2021), the notions of fuzzy soft almost (respectively (resp. for short) weakly) r-minimal continuous mappings are introduced, and some properties are given. Also, we show that every fuzzy soft r-minimal continuity is fuzzy soft almost (resp. weakly) r-minimal continuity, but the converse need not be true. After that, we introduce a concept of continuity in a very general setting called fuzzy soft r-minimal (A,B,C,D)-continuous mappings and investigate some properties of these mappings.



    Zadeh [30] introduced the basic idea of a fuzzy set as an extension of classical set theory. The basic notions of fuzzy sets have been improved and applied in different directions. Along this direction, we can refer to [16,20,22,24,25,26]. The concept of soft set theory was initiated by Molodtsov [19] in 1999 as a general mathematical tool for modeling uncertainties. Maji et al. [17] introduced the concept of a fuzzy soft set, which combines fuzzy sets [30] and soft sets [19]. Soft set and fuzzy soft set theories have a rich potential for applications in several directions. So far, lots of spectacular and creative studies about the theories of soft sets and fuzzy soft sets have been considered by some scholars (see [2,3,4,6,9,11,12,13]). Also, Aygünoğlu et al. [8] studied the topological structure of fuzzy soft sets based on fuzzy topologies in the sense of Šostak [21]. The concept of fuzzy r-minimal structure was introduced by Yoo et al. [29] as an extension of fuzzy topology introduced by Šostak [21]. Also, the concepts of a fuzzy r-minimal space, fuzzy r-minimal continuity, and fuzzy r-minimal compactness were introduced in [15,29]. Later, Taha [23] introduced the concept of fuzzy soft r-minimal structure, which is an extension of fuzzy soft topology introduced by Aygünoğlu et al. [8]. Also, the concept of fuzzy soft r-minimal continuity and several types of fuzzy soft r-minimal compactness were introduced in [23].

    We lay out the remainder of this article as follows. Section 2 contains some basic definitions and results that help in understanding the obtained results. In Section 3, we introduce and study a weaker form of fuzzy soft r-minimal continuous mappings. Additionally, we show that fuzzy soft r-minimal continuity [23] fuzzy soft almost r-minimal continuity fuzzy soft weakly r-minimal continuity, but the converse need not be true. In Section 4, we introduce a concept of continuity in a very general setting under the name "fuzzy soft r-minimal (A,B,C,D)-continuous mappings". We prove that if A and B are operators on (X,M~), and C, C and D are operators on (Y,M~), then φψ:(X,M~)(Y,M~) is fuzzy soft r-minimal (A,B,CC,D)-continuous iff it is both fuzzy soft r-minimal (A,B,C,D)-continuous and fuzzy soft r-minimal (A,B,C,D)-continuous. Finally, Section 5 gives some conclusions and suggests some future works.

    In this section, we present the basic definitions which we need in the next sections. Throughout this paper, X refers to an initial universe, E is the set of all parameters for X and AE, the family of all fuzzy sets in X is denoted by IX (where I=(0,1],I=[0,1]), and for tI, t_(x)=t, for all xX.

    Definition 2.1. [1,8,17] A fuzzy soft set fA over X is a mapping from E to IX such that fA(e) is a fuzzy set on X, for each eA and fA(e)=0_, if eA, where 0_ is zero function on X. The fuzzy set fA(e), for each eE, is called an element of the fuzzy soft set fA. (X,E)~ denotes the collection of all fuzzy soft sets on X and is called a fuzzy soft universe.

    Definition 2.2. [18,28] A fuzzy soft point ext over X is a fuzzy soft set over X defined as follows:

    ext(e)={xt,ife=e,0_,ifeE{e},

    where xt is a fuzzy point in X. A fuzzy soft point ext is said to belong to a fuzzy soft set fA, denoted by ext~fA, if tfA(e)(x). The family of all fuzzy soft points in X is denoted by Pt(X)~.

    Definition 2.3. [8] A mapping τ:E[0,1](X,E)~ is called a fuzzy soft topology on X if it satisfies the following conditions for each eE.

    (i) τe(Φ)=τe(E~)=1.

    (ii) τe(fAgB)τe(fA)τe(gB),fA,gB(X,E)~.

    (iii) τe(iΔ(fA)i)iΔτe((fA)i),(fA)i(X,E)~,iΔ.

    Then, the pair (X,τE) is called a fuzzy soft topological space (FSTS, for short).

    Definition 2.4. [23] Let X be a nonempty set and rI. A fuzzy soft mapping M~:E[0,1](X,E)~ on X is said to be a fuzzy soft r-minimal structure if the family M~e,r={fA(X,E)~|M~e(fA)r} for each eE contains Φ and E~. Then (X,M~) is called a fuzzy soft r-minimal space (simply, r-FMS~). Every member of M~e,r is called a fuzzy soft r-minimal open set.

    Definition 2.5. [23] Let (X,M~) be an r-FMS~, eE and rI. The fuzzy soft r-minimal interior and fuzzy soft r-minimal closure of fA, denoted by Im(e,fA,r) and Cm(e,fA,r), resp., are defined as Im(e,fA,r)={gB(X,E)~:gBfA,gBM~e,r} and Cm(e,fA,r)={gB(X,E)~:fAgB,gBcM~e,r}.

    Definition 2.6. [23] Let (X,M~) and (Y,M~) be r-FMS~s. Then, a fuzzy soft mapping φψ from (X,E)~ into (Y,F)~ is called fuzzy soft r-minimal continuous if φψ1(gB)M~e,r for every gBM~k,r, eE and (ψ(e)=k)F.

    Definition 2.7. [23] Let X be a nonempty set and M~:E[0,1](X,E)~. Then, M~ is said to have property (P) if

    M~e(jJ(fA)j)jJM~e((fA)j)

    for (fA)j(X,E)~, jJ and eE.

    Definition 2.8. [23] Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, eE and rI. Then, φψ is called fuzzy soft r-minimal open if φψ(fA)M~k,r for every fAM~e,r. Also, φψ is called fuzzy soft r-minimal closed if (φψ(fA))cM~k,r for every fAcM~e,r.

    Definition 2.9 [23] Let (X,M~) be an r-FMS~, gB(X,E)~, eE and rI. Then, gB is called fuzzy soft r-minimal compact (resp. fuzzy soft r-minimal almost compact and fuzzy soft r-minimal nearly compact) iff for every family {(fA)i(X,E)~|(fA)iM~e,r}iΓ such that gBiΓ(fA)i, there exists a finite subset Γ of Γ such that gBiΓ(fA)i (resp. gBiΓCm(e,(fA)i,r) and gBiΓIm(e,Cm(e,(fA)i,r),r)).

    Main properties of fuzzy soft sets and soft topology are found in [1,8,10,14,17,27].

    In this section, we introduce a weaker form of fuzzy soft r-minimal continuity called fuzzy soft almost (resp. weakly) r-minimal continuous mappings and investigate some properties of these mappings. Also, we show that fuzzy soft r-minimal continuity [23] fuzzy soft almost r-minimal continuity fuzzy soft weakly r-minimal continuity, but the converse need not be true.

    Definition 3.1. A fuzzy soft mapping φψ:(X,M~)(Y,M~) is called fuzzy soft almost (resp. weakly) r-minimal continuous if, for fuzzy soft point ext over X and each gBM~k,r containing φψ(ext), there is fAM~e,r containing ext such that φψ(fA)Im(k,Cm(k,gB,r),r) (resp. φψ(fA)Cm(k,gB,r)).

    Theorem 3.1. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping. Suppose that one of the following properties holds:

    (i) φψ1(gB)Im(e,φψ1(Im(k,Cm(k,gB,r),r)),r), if gBM~k,r.

    (ii) Cm(e,φψ1(Cm(k,Im(k,gB,r),r)),r)φψ1(gB), if gBcM~k,r.

    Then, φψ is fuzzy soft almost r-minimal continuous.

    Proof. (i) (ii) Let gBcM~k,r. Then, from (i), it follows

    φψ1(gBc)Im(e,φψ1(Im(k,Cm(k,gBc,r),r)),r)=Im(e,φψ1((Cm(k,Im(k,gB,r),r))c),r)=Im(e,(φψ1(Cm(k,Im(k,gB,r),r)))c,r)=(Cm(e,φψ1(Cm(k,Im(k,gB,r),r)),r))c.

    Hence, Cm(e,φψ1(Cm(k,Im(k,gB,r),r)),r)φψ1(gB).

    Similarly, we get (ii) (i).

    Suppose that (i) holds. Let extPt(X)~, and gBM~k,r containing φψ(ext). Then, by (i),

    ext~Im(e,φψ1(Im(k,Cm(k,gB,r),r)),r),

    and so there exists fAM~e,r containing ext such that fAφψ1(Im(k,Cm(k,gB,r),r)). It follows that φψ(fA) Im(k,Cm(k,gB,r),r). Hence, φψ is fuzzy soft almost r-minimal continuous.

    In a similar way, one can prove the following corollary.

    Corollary 3.1. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and Y has the property (P). Suppose that one of the following properties holds for gB(Y,F)~, eE and rI:

    (i) φψ1(gB)Im(e,φψ1(Im(k,Cm(k,gB,r),r)),r), if gBM~k,r.

    (ii) φψ1(Im(k,gB,r))Im(e,φψ1(Im(k,Cm(k,Im(k,gB,r),r),r)),r).

    (iii) Cm(e,φψ1(Cm(k,Im(k,Cm(k,gB,r),r),r)),r)φψ1(Cm(k,gB,r)).

    Then, φψ is fuzzy soft almost r-minimal continuous.

    Lemma 3.1. Every fuzzy soft r-minimal continuous mapping [23] is fuzzy soft almost r-minimal continuous.

    Proof. It follows from Theorem 3.1.

    In general, the converse of Lemma 3.1 is not true, as shown by Example 3.1.

    Example 3.1 Let X={x,y} and E={e1,e2} be the parameter set of X. Define fE and gE (X,E)~ as follows: fE={(e1,{x0.2,y0.4}),(e2,{x0.2,y0.4})}, gE={(e1,{x0.1,y0.5}),(e2,{x0.1,y0.5})}. Define fuzzy soft r-minimal structures M~E,W~E:E[0,1](X,E)~ as follows: eE,

    M~e(hE)={12,ifhE{Φ,E~},13,ifhE{fE,gE},0,otherwise, 
    W~e(hE)={12,ifhE{Φ,E~},12,ifhE{fE,gE},13,ifhE=fEgE,0,otherwise.

    Then, the identity fuzzy soft mapping φψ:(X,M~)(X,W~) is fuzzy soft almost 13-minimal continuous, but it is not fuzzy soft 13-minimal continuous.

    Definition 3.2. Let (X,M~) be an r-FMS~, fA(X,E)~, eE and rI. Then,

    (i) fA is fuzzy soft r-minimal semiopen if fACm(e,Im(e,fA,r),r),

    (ii) fA is fuzzy soft r-minimal preopen if fAIm(e,Cm(e,fA,r),r),

    (iii) fA is fuzzy soft r-minimal regularly open if fA=Im(e,Cm(e,fA,r),r),

    (iv) fA is fuzzy soft r-minimal β-open if fACm(e,Im(e,Cm(e,fA,r),r),r).

    A fuzzy soft set fA is called a fuzzy soft r-minimal semiclosed (resp., fuzzy soft r-minimal preclosed, fuzzy soft r-minimal regularly closed and fuzzy soft r-minimal β-closed) set if the complement of fA is a fuzzy soft r-minimal semiopen (resp., fuzzy soft r-minimal preopen, fuzzy soft r-minimal regularly open and fuzzy soft r-minimal β-open) set.

    Theorem 3.2. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and Y has the property (P). Suppose that one of the following properties holds for gB(Y,F)~, eE and rI:

    (i) φψ1(gB)=Cm(e,φψ1(gB),r), if gB is fuzzy soft r-minimal regularly closed.

    (ii) φψ1(gB)=Im(e,φψ1(gB),r), if gB is fuzzy soft r-minimal regularly open.

    Then, φψ is fuzzy soft almost r-minimal continuous.

    Proof. (i) (ii) is obvious.

    Suppose that (ii) holds. Let extPt(X)~ and gBM~k,r containing φψ(ext). Since Im(k,Cm(k,gB,r),r) is fuzzy soft r-minimal regularly open, then by (ii),

    φψ1(Im(k,Cm(k,gB,r),r))=Im(e,φψ1(Im(k,Cm(k,gB,r),r)),r),

    there is fAM~e,r containing ext such that fAφψ1(Im(k,Cm(k,gB,r),r)). This implies φψ(fA)Im(k,Cm(k,gB,r),r). Hence, φψ is fuzzy soft almost r-minimal continuous.

    In a similar way, one can prove the following corollary.

    Corollary 3.2. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Suppose that one of the following properties holds for gB(Y,F)~, eE and rI:

    (i) φψ1(gB)M~e,r, if gB is fuzzy soft r-minimal regularly open.

    (ii) (φψ1(gB))cM~e,r, if gB is fuzzy soft r-minimal regularly closed.

    Then, φψ is fuzzy soft almost r-minimal continuous.

    Theorem 3.3. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Suppose that one of the following properties holds for gB(Y,F)~, eE and rI:

    (i) Cm(e,φψ1(gB),r)φψ1(Cm(k,gB,r)), if gB is fuzzy soft r-minimal β-open.

    (ii) Cm(e,φψ1(gB),r)φψ1(Cm(k,gB,r)), if gB is fuzzy soft r-minimal semiopen.

    (iii) φψ1(gB)Im(e,φψ1(Im(k,Cm(k,gB,r),r)),r), if gB is fuzzy soft r-minimal preopen.

    (iv) Cm(e,φψ1(Cm(k,Im(k,Cm(k,gB,r),r),r)),r)φψ1(Cm(k,gB,r)), if gB is fuzzy soft r-minimal preopen.

    Then, φψ is fuzzy soft almost r-minimal continuous.

    Proof. (i) (ii) Since every fuzzy soft r-minimal semiopen set is fuzzy soft r-minimal β-open, it is obvious.

    Suppose that (ii) holds. Let gB be a fuzzy soft r-minimal regular closed set. Then, gB is fuzzy soft r-minimal semiopen, and so from (ii), we have

    Cm(e,φψ1(gB),r)φψ1(Cm(k,gB,r))=φψ1(gB).

    This implies φψ1(gB)=Cm(e,φψ1(gB),r), and hence from Theorem 3.2, φψ is fuzzy soft almost r-minimal continuous.

    Suppose that (iii) holds. Let gB be a fuzzy soft r-minimal regular open set. Then, gB is fuzzy soft r-minimal preopen, and so from (iii), we have

    φψ1(gB)Im(e,φψ1(Im(k,Cm(k,gB,r),r)),r)=Im(e,φψ1(gB),r).

    This implies φψ1(gB)=Im(e,φψ1(gB),r), and hence by Theorem 3.2, φψ is fuzzy soft almost r-minimal continuous.

    Suppose that (iv) holds. Let gB be a fuzzy soft r-minimal regular closed set. Then, Im(k,gB,r) is fuzzy soft r-minimal preopen. From hypothesis and gB=Cm(k,Im(k,gB,r),r), it follows that

    φψ1(gB)=φψ1(Cm(k,Im(k,gB,r),r))Cm(e,φψ1(Cm(k,Im(k,Cm(k,Im(k,gB,r),r),r),r)),r)=Cm(e,φψ1(Cm(k,Im(k,gB,r),r)),r)=Cm(e,φψ1(gB),r).

    This implies φψ1(gB)=Cm(e,φψ1(gB),r). Hence, by Theorem 3.2, φψ is fuzzy soft almost r-minimal continuous.

    Theorem 3.4. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping. Suppose that one of the following properties holds:

    (i) φψ1(gB)Im(e,φψ1(Cm(k,gB,r)),r), if gBM~k,r.

    (ii) Cm(e,φψ1(Im(k,gB,r)),r)φψ1(gB), if gBcM~k,r.

    Then, φψ is fuzzy soft weakly r-minimal continuous.

    Proof. (i) (ii) Let gBcM~k,r. Then, from (i), it follows that

    φψ1(gBc)Im(e,φψ1(Cm(k,gBc,r)),r)=Im(e,φψ1((Im(k,gB,r))c),r)=Im(e,(φψ1(Im(k,gB,r)))c,r)=(Cm(e,φψ1(Im(k,gB,r)),r))c.

    Hence, Cm(e,φψ1(Im(k,gB,r)),r)φψ1(gB). Similarly, we get (ii) (i).

    Suppose that (i) holds. Let extPt(X)~ and gBM~k,r containing φψ(ext). Then, by (i),

    ext~Im(e,φψ1(Cm(k,gB,r)),r),

    and so there exists fAM~e,r containing ext such that fAφψ1(Cm(k,gB,r)). Thus, φψ(fA)Cm(k,gB,r). Hence, φψ is fuzzy soft weakly r-minimal continuous.

    In a similar way, one can prove the following corollary.

    Corollary 3.3. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and Y has the property (P). Suppose that one of the following properties holds for gB(Y,F)~, eE and rI:

    (i) Cm(e,φψ1(Im(k,gB,r)),r)φψ1(gB), if gBcM~k,r.

    (ii) Cm(e,φψ1(Im(k,Cm(k,gB,r),r)),r)φψ1(Cm(k,gB,r)).

    (iii) φψ1(Im(k,gB,r))Im(e,φψ1(Cm(k,Im(k,gB,r),r)),r).

    Then, φψ is fuzzy soft weakly r-minimal continuous.

    Lemma 3.2. Every fuzzy soft almost r-minimal continuous mapping is fuzzy soft weakly r-minimal continuous.

    Proof. It follows from Definition 3.1.

    In general, the converse of Lemma 3.2 is not true, as shown by Example 3.2.

    Example 3.2. Let X={x,y} and E={e1,e2} be the parameter set of X. Define fE and gE (X,E)~ as follows: fE={(e1,{x0.5,y0.5}),(e2,{x0.5,y0.5})}, gE={(e1,{x0.4,y0.2}),(e2,{x0.4,y0.2})}. Define fuzzy soft r-minimal structures M~E,W~E:E[0,1](X,E)~ as follows: eE,

    M~e(hE)={0.7,ifhE{Φ,E~},0.5,ifhE=fE,0,otherwise, 
    W~e(hE)={0.7,ifhE{Φ,E~},0.5,ifhE=gE,0,otherwise.

    Then, the identity fuzzy soft mapping φψ:(X,M~)(X,W~) is fuzzy soft weakly 12-minimal continuous, but it is not fuzzy soft almost 12-minimal continuous.

    The following implications are obtained:

    fuzzy softr-minimal continuity
    fuzzy soft almostr-minimal continuity
    fuzzy soft weaklyr-minimal continuity.

    Theorem 3.5. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Then, φψ is fuzzy soft weakly r-minimal continuous if Cm(e,φψ1(Im(k,Cm(k,gB,r),r)),r)φψ1(Cm(k,gB,r)) for each gB(Y,F)~ that is a fuzzy soft r-minimal semiopen set, eE and rI.

    Proof. Let gBM~k,r. Then, gB is a fuzzy soft r-minimal semiopen set. From hypothesis and gBIm(k,Cm(k,gB,r),r), it follows that

    φψ1(Cm(k,gB,r))Cm(e,φψ1(Im(k,Cm(k,gB,r),r)),r)Cm(e,φψ1(gB),r).

    Hence, by Theorem 3.3, φψ is fuzzy soft almost r-minimal continuous. This implies φψ is fuzzy soft weakly r-minimal continuous.

    In this section, we introduce a concept of continuity in a very general setting called fuzzy soft r-minimal (A,B,C,D)-continuous mappings, and we investigate some properties of them.

    First of all, let us introduce a concept of continuity in a very general setting. Let (X,M~) and (Y,M~) be r-FMS~s, A and B :E×(X,E)~×IIX be operators on (X,M~), and C and D :F×(Y,F)~×IIY be operators on (Y,M~), respectively. The difference between two fuzzy soft sets fA and gB is a fuzzy soft set, denoted by fA¯gB, where

    (fA¯gB)(e)={0_,iffA(e)gB(e),fA(e)(gB(e))c,otherwise, for eacheE.

    Definition 4.1. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Then, φψ is called fuzzy soft r-minimal (A,B,C,D)-continuous if

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ

    for each gBM~k,r, eE and (ψ(e)=k)F.

    In 2021, Taha [23] defined the concept of fuzzy soft r-minimal continuous mappings: φψ1(gB)M~e,r for each gBM~k,r, eE and (ψ(e)=k)F. We can see that the above definition generalizes the concepts of fuzzy soft r-minimal continuous mappings, when we choose A = identity operator, B = interior operator, C = identity operator and D = identity operator.

    Let us give a historical justification of the above definition:

    I. In Section 3, we defined the concept of fuzzy soft almost r-minimal continuous mappings: φψ1(gB)Im(e,φψ1(Im(k,Cm(k,gB,r),r)),r) for each gBM~k,r. Here, A = identity operator, B = interior operator, C = interior closure operator and D = identity operator.

    II. In Section 3, we defined the concept of fuzzy soft weakly r-minimal continuous mappings: φψ1(gB)Im(e,φψ1(Cm(k,gB,r)),r) for each gBM~k,r. Here, A = identity operator, B = interior operator, C = closure operator and D = identity operator.

    Definition 4.2. A fuzzy soft mapping φψ:(X,M~)(Y,M~) is called fuzzy soft r-minimal -continuous iff φψ1(gB)M~e,r gBM~k,r satisfies property .

    Let C:F×(Y,F)~×IIY be an operator on (Y,M~) defined as follows:

    C(k,gB,r)={gB,ifgBM~k,rand satisfies property,E~,otherwise.

    Theorem 4.1. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Then, φψ is fuzzy soft r-minimal -continuous iff it is fuzzy soft r-minimal (id,Im,C,id)-continuous.

    Proof. () Let φψ be a fuzzy soft r-minimal -continuous and gBM~k,r.

    Case 1. If gB satisfies property , C(k,gB,r)=gB, and φψ1(gB)M~e,r. Thus, we obtain φψ1(gB)Im(e,φψ1(gB),r)=Im(e,φψ1(C(k,gB,r)),r). Then, φψ1(gB)¯Im(e,φψ1(C(k,gB,r)),r)=Φ. Hence, φψ is fuzzy soft r-minimal (id,Im,C,id)-continuous.

    Case 2. If gB does not satisfy property , C(k,gB,r)=E~. Thus, we obtain φψ1(gB)Im(e,φψ1(E~),r) =Im(e,φψ1(C(k,gB,r)),r). Then, φψ1(gB)¯ Im(e,φψ1(C(k,gB,r)),r)=Φ. Hence, φψ is fuzzy soft r-minimal (id,Im,C,id)-continuous.

    () Suppose that φψ1(gB)¯Im(e,φψ1(C(k,gB,r)),r)=Φ for each gBM~k,r. Then, φψ1(gB)Im(e,φψ1(C(k,gB,r)),r). If gBM~k,r satisfies property , C(k,gB,r)=gB, and hence φψ1(gB)Im(e,φψ1(gB),r). Thus, φψ1(gB)M~e,r. Then, φψ is fuzzy soft r-minimal -continuous.

    Definition 4.3. If A and B are operators on (X,M~), the intersection operator AB is defined as follows: (AB)(e,fA,r)=A(e,fA,r)B(e,fA,r), fA(X,E)~ and eE. A and B are called mutually dual if AB is the identity operator.

    Theorem 4.2. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Let A and B be operators on (X,M~), and C, C and D be operators on (Y,M~). Then, φψ is fuzzy soft r-minimal (A,B,CC,D)-continuous iff it is both fuzzy soft r-minimal (A,B,C,D)-continuous and fuzzy soft r-minimal (A,B,C,D)-continuous.

    Proof. If φψ is both fuzzy soft r-minimal (A,B,C,D)-continuous and fuzzy soft r-minimal (A,B,C,D)-continuous, then for each gBM~k,r we have

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ,
    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ.

    Hence,

    [A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]]
    [A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]]=Φ.

    However,

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1((CC)(k,gB,r)),r]=A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)C(k,gB,r)),r]=A[e,φψ1(D(k,gB,r)),r]¯(B[e,φψ1(C(k,gB,r)),r]B[e,φψ1(C(k,gB,r)),r])=[A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]][A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]].

    Thus, A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1((CC)(k,gB,r)),r]=Φ. Then, φψ is fuzzy soft r-minimal (A,B,CC,D)-continuous.

    Conversely, if φψ is fuzzy soft r-minimal (A,B,CC,D)-continuous, and gBM~k,r, then

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1((CC)(k,gB,r)),r]=Φ.

    Now, by the above equalities, we get that

    [A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]]
    [A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]]=Φ.

    Then, we have

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ

    and

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ,

    which means that φψ is both fuzzy soft r-minimal (A,B,C,D)-continuous and fuzzy soft r-minimal (A,B,C,D)-continuous.

    Corollary 4.1. Let φψ:(X,M~)(Y,M~) be fuzzy soft almost r-minimal and fuzzy soft r-minimal (id,Im,G,id)-continuous where G and Im(Cm) are mutually dual operators on Y such that G(k,gB,r)=gB(Im(k,Cm(k,gB,r),r))c for each gBM~k,r and eE. Then, φψ is fuzzy soft r-minimal continuous iff φψ is fuzzy soft almost r-minimal continuous, and φψ1(gB)¯Im(e,φψ1(G(k,gB,r)),r)=Φ.

    Proof. Fuzzy soft almost r-minimal continuous is equal to fuzzy soft r-minimal (id,Im,Im(Cm),id)-continuous. Since G and Im(Cm) are mutually dual operators on Y, then the result follows from Theorem 4.2.

    Definition 4.4. Let A and B be operators on (X,M~). Then, AB iff A(e,fA,,r) B(e,fA,r),fA(X,E)~ and eE.

    Theorem 4.3. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Let A and B be operators on (X,M~), and C, C and D be operators on (Y,M~) with CC. If φψ is fuzzy soft r-minimal (A,B,C,D)-continuous, then it is fuzzy soft r-minimal (A,B,C,D)-continuous.

    Proof. If φψ is fuzzy soft r-minimal (A,B,C,D)-continuous, and gBM~k,r, thus we obtain

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ.

    Now, we know CC, for each gBM~k,r, B[e,φψ1(C(k,gB,r)),r] B[e,φψ1(C(k,gB,r)),r]. Therefore,

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]
    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r].

    Then, A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ. Hence, φψ is fuzzy soft r-minimal (A,B,C,D)-continuous.

    Definition 4.5. An operator B on (X,M~) induces another operator Im(B) defined as follows: Im(B)(e,fA,r)=Im(e,B(e,fA,r),r),fA(X,E)~. Observe that Im(B)B.

    Definition 4.6. A fuzzy soft mapping φψ:(X,M~)(Y,M~) satisfies the openness condition with respect to the operator B on X ifB[e,φψ1(fA),r] B[e,φψ1(Im(k,fA,r)),r], fA(X,E)~.

    Theorem 4.4. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Let A and B be operators on (X,M~), and C and D be operators on (Y,M~). If φψ is fuzzy soft r-minimal (A,B,C,D)-continuous and satisfies the openness condition with respect to the operator B, then φψ is fuzzy soft r-minimal (A,B,Im(C),D)-continuous.

    Proof. If φψ is fuzzy soft r-minimal (A,B,C,D)-continuous, and gBM~k,r, thus

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r]=Φ.

    Since φψ satisfies the openness condition with respect to the operator B, then B[e,φψ1(C(k,gB,r)),r]B[e,φψ1(Im(k,C(k,gB,r),r)),r], and it follows that

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(Im(k,C(k,gB,r),r)),r]
    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(C(k,gB,r)),r].

    Thus, we obtain

    A[e,φψ1(D(k,gB,r)),r]¯B[e,φψ1(Im(k,C(k,gB,r),r)),r]=Φ.

    Then, φψ is fuzzy soft r-minimal (A,B,Im(C),D)-continuous.

    Corollary 4.2. Let φψ:(X,M~)(Y,M~) be a fuzzy soft mapping, and X has the property (P). Let A and B be operators on (X,M~), and C and D be operators on (Y,M~). If φψ is fuzzy soft weakly r-minimal continuous and satisfies the openness condition with respect to the operator B, then φψ is fuzzy soft almost r-minimal continuous.

    Proof. Let A = identity operator, B = interior operator, C = closure operator and D = identity operator. Then, the result follows from Theorem 4.4.

    Theorem 4.5. If φψ:(X,M~)(Y,M~) is a fuzzy soft r-minimal (A,Im,C,D)-continuous mapping, fAA(e,fA,r), and gBD(k,gB,r) fA(X,E)~, gB(Y,F)~, then φψ(fA) is fuzzy soft r-minimal C-compact if fA is fuzzy soft r-minimal compact.

    Proof. Given {(gB)i(Y,F)~|(gB)iM~k,r}iΓ with φψ(fA)iΓ(gB)i, then fAiΓφψ1((gB)i). Since φψ is fuzzy soft r-minimal (A,Im,C,D)-continuous, then for each gBM~k,r,

    φψ1(gB)A(e,φψ1(D(k,gB,r)),r)Im(e,φψ1(C(k,gB,r)),r).

    Then, fAiΓIm(e,φψ1(C(k,gB,r)i),r). Since fA is fuzzy soft r-minimal compact, there exists a finite subset Γ of Γ such that

    fAiΓIm(e,φψ1(C(k,(gB)i,r)),r)iΓφψ1(C(k,(gB)i,r)).

    Thus, φψ(fA)iΓC(k,(gB)i,r). Hence, φψ(fA) is fuzzy soft r-minimal C-compact, as required.

    The following corollaries are direct results.

    Corollary 4.3. Let φψ:(X,M~)(Y,M~) be a fuzzy soft r-minimal continuous mapping. Then, φψ(fA) is fuzzy soft r-minimal compact if fA(X,E)~ is fuzzy soft r-minimal compact.

    Proof. Let A = identity operator, B = interior operator, C = identity operator and D = identity operator. Then, the result follows from Theorem 4.5.

    Corollary 4.4. Let φψ:(X,M~)(Y,M~) be a fuzzy soft almost r-minimal continuous mapping. Then, φψ(fA) is fuzzy soft r-minimal nearly compact if fA(X,E)~ is fuzzy soft r-minimal compact.

    Proof. Let A = identity operator, B = interior operator, C = interior closure operator and D = identity operator. Then, the result follows from Theorem 4.5.

    Corollary 4.5. Let φψ:(X,M~)(Y,M~) be a fuzzy soft weakly r-minimal continuous mapping. Then, φψ(fA) is fuzzy soft r-minimal almost compact if fA(X,E)~ is fuzzy soft r-minimal compact.

    Proof. Let A = identity operator, B = interior operator, C = closure operator and D = identity operator. Then, the result follows from Theorem 4.5.

    In this paper, we have defined weaker forms of fuzzy soft r-minimal continuity called fuzzy soft almost r-minimal continuity and fuzzy soft weakly r-minimal continuity. We have investigated the master properties of these continuous forms and provided some illustrative examples to show the relationships between them. Then, we have introduced the concept of fuzzy soft r-minimal (A,B,C,D)-continuous mappings and given some characterizations of them. Moreover, we have proved that if A and B are operators on (X,M~), and C, C and D are operators on (Y,M~), then φψ:(X,M~)(Y,M~) is fuzzy soft r-minimal (A,B,CC,D)-continuous iff it is both fuzzy soft r-minimal (A,B,C,D)-continuous and fuzzy soft r-minimal (A,B,C,D)-continuous.

    In the upcoming work, we will define some new separation axioms in fuzzy soft r-minimal spaces. Also, we shall discuss the concepts given herein in the frames of infra soft topologies [5] and infra fuzzy topologies [7]. We hope that this work will contribute to fuzzy soft r-minimal structure studies.

    The author declares that there is no conflict of interest.



    [1] B. Ahmad, A. Kharal, On fuzzy soft sets, Adv. Fuzzy Syst., 2009 (2009), 1–6. https://doi.org/10.1155/2009/586507
    [2] H. Aktaş, N. Çağman, Soft sets and soft groups, Inform. Sci., 177 (2007), 2726–2735. https://doi.org/10.1016/j.ins.2006.12.008
    [3] J. C. R. Alcantud, T. M. Al-shami, A. A. Azzam, Caliber and chain conditions in soft topologies, Mathematics, 9 (2021), 1–15. https://doi.org/10.3390/math9192349 doi: 10.3390/math9192349
    [4] T. M. Al-shami, Soft somewhere dense sets on soft topological spaces, Commun. Korean Math. Soc., 33 (2018), 1341–1356. https://doi.org/10.4134/CKMS.c170378 doi: 10.4134/CKMS.c170378
    [5] T. M. Al-shami, New soft structure: Infra soft topological spaces, Math. Probl. Eng., 2021 (2021), 1–12. https://doi.org/10.1155/2021/3361604 doi: 10.1155/2021/3361604
    [6] T. M. Al-shami, I. Alshammari, B. A. Asaad, Soft maps via soft somewhere dense sets, Filomat, 34 (2020), 3429–3440. https://doi.org/10.2298/FIL2010429A doi: 10.2298/FIL2010429A
    [7] Z. A. Ameen, T. M. Al-shami, A. A. Azzam, A. Mhemdi, A novel fuzzy structure: Infra-fuzzy topological spaces, J. Funct. Space., 2022 (2022), 1–11. https://doi.org/10.1155/2022/9778069 doi: 10.1155/2022/9778069
    [8] A. Aygünoğlu, V. Çetkin, H. Aygün, An introduction to fuzzy soft topological spaces, Hacet. J. Math. Stat., 43 (2014), 193–208.
    [9] N. Çağman, S. Enginoğlu, F. Çitak, Fuzzy soft set theory and its applications, Iran. J. Fuzzy Syst., 8 (2011), 137–147. https://doi.org/10.22111/ijfs.2011.292 doi: 10.22111/ijfs.2011.292
    [10] V. Çetkin, H. Aygün, Fuzzy soft semiregularization spaces, Ann. Fuzzy Math. Inform., 7 (2014), 687–697.
    [11] D. N. Georgiou, A. C. Megaritis, V. I. Petropoulos, On soft topological spaces, Appl. Math. Inform. Sci., 7 (2013), 1889–1901. https://doi.org/10.12785/amis/070527
    [12] S. Hussain, B. Ahmad, Soft separation axioms in soft topological spaces, Hacet. J. Math. Stat., 44 (2015), 559–568. https://doi.org/10.15672/HJMS.2015449426 doi: 10.15672/HJMS.2015449426
    [13] Y. B. Jun, Soft BCK/BCI algebras, Comput. Math. Appl., 56 (2008), 1408–1413. https://doi.org/10.1016/j.camwa.2008.02.035
    [14] A. Kharal, B. Ahmad, Mappings on fuzzy soft classes, Adv. Fuzzy Syst., 2009 (2009), 1–6. https://doi.org/10.1155/2009/407890 doi: 10.1155/2009/407890
    [15] J. I. Kim, W. K. Min, Y. H. Yoo, Fuzzy r-compactness on fuzzy r-minimal spaces, Int. J. Fuzzy Logic Intell. Syst., 9 (2009), 281–284. https://doi.org/10.5391/IJFIS.2009.9.4.281 doi: 10.5391/IJFIS.2009.9.4.281
    [16] G. J. Klir, B. Yuan, Fuzzy sets and fuzzy logic: Theory and applications, New Jersey: Prentice-Hall, 1995.
    [17] P. K. Maji, R. Biswas, A. R. Roy, Fuzzy soft sets, J. Fuzzy Math., 9 (2001), 589–602.
    [18] S. Mishar, R. Srivastava, Hausdorff fuzzy soft topological spaces, Ann. Fuzzy Math. Inform., 9 (2015), 247–260.
    [19] D. Molodtsov, Soft set theory-First results, Comput. Math. Appl., 37 (1999), 19–31. https://doi.org/10.1016/S0898-1221(99)00056-5 doi: 10.1016/S0898-1221(99)00056-5
    [20] T. Rasham, M. S. Shabbir, P. Agarwal, S. Momani, On a pair of fuzzy dominated mappings on closed ball in the multiplicative metric space with applications, Fuzzy Sets Syst., 2021, 1–16. https://doi.org/10.1016/j.fss.2021.09.002
    [21] A. P. Šostak, On a fuzzy topological structure, In: Proceedings of the 13th winter school on abstract analysis, Section of topology, Palermo: Circolo Matematico di Palermo, 1985, 89–103.
    [22] I. M. Taha, On fuzzy upper and lower α--continuity and their decomposition, J. Math. Comput. Sci., 11 (2021), 427–441. https://doi.org/10.28919/jmcs/5107 doi: 10.28919/jmcs/5107
    [23] I. M. Taha, Compactness on fuzzy soft r-minimal spaces, Int. J. Fuzzy Logic Intell. Syst., 21 (2021), 251–258. https://doi.org/10.5391/ijfis.2021.21.3.251 doi: 10.5391/ijfis.2021.21.3.251
    [24] I. M. Taha, On r-generalized fuzzy -closed sets: Properties and applications, J. Math., 2021 (2021), 1–8. https://doi.org/10.1155/2021/4483481 doi: 10.1155/2021/4483481
    [25] I. M. Taha, r-fuzzy δ--open sets and fuzzy upper (lower) δ--continuity via fuzzy idealization, J. Math. Comput. Sci., 25 (2022), 1–9. https://doi.org/10.22436/jmcs.025.01.01 doi: 10.22436/jmcs.025.01.01
    [26] I. M. Taha, On upper and lower generalized semi-continuous fuzzy multifunctions, J. Math. Comput. Sci., 25 (2022), 251–258. https://doi.org/10.22436/jmcs.025.03.04 doi: 10.22436/jmcs.025.03.04
    [27] B. P. Varol, H. Aygün, Fuzzy soft topology, Hacet. J. Math. Stat., 41 (2012), 407–419.
    [28] B. P. Varol, A. Aygünoğlu, H. Aygün, Neighborhood structures of fuzzy soft topological spaces, J. Int. Fuzzy Syst., 27 (2014), 2127–2135. https://doi.org/10.3233/IFS-141177 doi: 10.3233/IFS-141177
    [29] Y. H. Yoo, W. K. Min, J. I. L. Kim, Fuzzy r-minimal structures and fuzzy r-Minimal spaces, Far East J. Math. Sci., 33 (2009), 193–205.
    [30] L. A. Zadeh, Fuzzy Sets, Inform. Control, 8 (1965), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
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