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Research article Special Issues

Teaching of system reliability based on challenging practical works using a spreadsheet software

  • Received: 09 June 2023 Revised: 01 August 2023 Accepted: 07 August 2023 Published: 23 August 2023
  • MSC : 97U50, 97K80

  • Systems reliability is usually an integral part of the curriculum for industrial engineering students. Very often, teachers limit themselves to a theoretical approach or simple calculations. Indeed, dedicated software is either expensive or complex for the intended use. Through this article, the objective is to teach students to create, by themselves, simple but adapted calculation tools from simple models given in a spreadsheet given in parallel with this article, allowing them to apply the theoretical knowledge acquired in the field of reliability. They will be able to easily understand the calculation of reliability thanks to the method of the functional diagram of reliability. Autonomously, they will be able to model most of the systems they might encounter in their engineering career. The developed tool will allow students to calculate the reliability of series systems, parallel systems, mixed systems, k-out-of-n systems, bridge systems and other complex models using the method of decomposition or the event space method. In the end, not only will readers be able to carry out the practical work proposed in this article, but the autonomy and skills they will have developed will allow them to model any industrial system or device in the way they deem appropriate.

    Citation: Jérémie Schutz, Christophe Sauvey. Teaching of system reliability based on challenging practical works using a spreadsheet software[J]. AIMS Mathematics, 2023, 8(10): 24764-24785. doi: 10.3934/math.20231263

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  • Systems reliability is usually an integral part of the curriculum for industrial engineering students. Very often, teachers limit themselves to a theoretical approach or simple calculations. Indeed, dedicated software is either expensive or complex for the intended use. Through this article, the objective is to teach students to create, by themselves, simple but adapted calculation tools from simple models given in a spreadsheet given in parallel with this article, allowing them to apply the theoretical knowledge acquired in the field of reliability. They will be able to easily understand the calculation of reliability thanks to the method of the functional diagram of reliability. Autonomously, they will be able to model most of the systems they might encounter in their engineering career. The developed tool will allow students to calculate the reliability of series systems, parallel systems, mixed systems, k-out-of-n systems, bridge systems and other complex models using the method of decomposition or the event space method. In the end, not only will readers be able to carry out the practical work proposed in this article, but the autonomy and skills they will have developed will allow them to model any industrial system or device in the way they deem appropriate.



    Hermite and Hadamard's inequality [1,2] is one of the most well-known inequalities in convex function theory, with a geometrical interpretation and numerous applications. The H·H inequality is defined as follows for the convex function Ψ:KR on an interval K=[u,ν]:

    Ψ(u+ν2)1νuνuΨ(x)dxΨ(u)+Ψ(ν)2, (1)

    for all u,νK.

    If f is concave, the inequalities in (1) hold in the reversed direction. We should point out that Hermite-Hadamard inequality is a refinement of the concept of convexity, and it follows naturally from Jensen's inequality. In recent years, the Hermite-Hadamard inequality for convex functions has gotten a lot of attention, and a lot of improvements and generalizations have been examined; see [3,4,5,6,7,8,9,10,11,12] and the references therein.

    Interval analysis, on the other hand, is a subset of set-valued analysis, which is the study of sets in the context of mathematical analysis and topology. It was created as a way to deal with interval uncertainty, which can be found in many mathematical or computer models of deterministic real-world phenomena. Archimedes' method, which is used to calculate the circumference of a circle, is a historical example of an interval enclosure. Moore, who is credited with being the first user of intervals in computer mathematics, published the first book on interval analysis in 1966, see [13]. Following the publication of his book, a number of scientists began to research the theory and applications of interval arithmetic. Interval analysis is now a useful technique in a variety of fields that are interested in ambiguous data because of its applications. Computer graphics, experimental and computational physics, error analysis, robotics, and many other fields have applications.

    In recent years, several major inequalities (Hermite-Hadamard, Ostrowski, etc.) for interval-valued functions have been studied. Chalco-Cano et al. used the Hukuhara derivative for interval-valued functions to construct Ostrowski type inequalities for interval-valued functions in [14,15]. For interval-valued functions, Román-Flores et al. established Minkowski and Beckenbach's inequalities in [18]. For the rest, see [16,17,18,19,20]. Inequalities, on the other hand, were investigated for the more generic set-valued maps. Sadowska, for example, presented the Hermite-Hadamard inequality in [21]. Other investigations can be found at [22,23].

    Recently, Khan et al. [24] introduced the new class of convex fuzzy mappings is known as (h1,h2)-convex F-I-V-Fs by means of FOR such that:

    Let h1,h2:[0,1]K=[u,υ]R+ such that h1,h20. Then F-I-V-F ˜Ψ:K=[u,υ]FC(R) is said to be (h1,h2)-convex on [u,υ] if

    ˜Ψ(ξw+(1ξ)y)h1(ξ)h2(1ξ)˜Ψ(w)˜+h1(1ξ)h2(ξ)˜Ψ(y), (2)

    for all w,y[u,υ],ξ[0,1].

    And they also presented the following new version of H·H type inequality for (h1,h2)-convex F-I-V-F involving fuzzy-interval Riemann integrals:

    Let ˜Ψ:[u,υ]F0 be a (h1,h2)-convex F-I-V-F with h1,h2:[0,1]R+ and h1(12)h2(12)0. Then, from θ-levels, we get the collection of I-V-Fs Ψθ:[u,υ]RK+C are given by Ψθ(ω)=[Ψ(ω,θ),Ψ(ω,θ)] for all ω[u,υ] and for all θ[0,1]. If ˜Ψ is fuzzy-interval Riemann integrable (in short, FR-integrable), then

    12h1(12)h2(12)˜Ψ(u+υ2)1υu(FR)υu˜Ψ(ω)dω[˜Ψ(u)˜+˜Ψ(υ)]10h1(ξ)h2(1ξ)dξ. (3)

    If h1(ξ)=ξ and h2(ξ)1, then from (3), we get following the result for convex F-I-V-F:

    ˜Ψ(u+υ2)1υu(FR)υu˜Ψ(ω)dω˜Ψ(u)˜+˜Ψ(υ)2

    A one step forward, Khan et al. introduced new classes of convex and generalized convex F-I-V-F, and derived new fractional H·H type and H·H type inequalities for convex F-I-V-F [25], h-convex F-I-V-F [26], (h1,h2)-preinvex F-I-V-F [27], log-s-convex F-I-V-Fs in the second sense [28], LR-log-h-convex I-V-Fs [29], harmonically convex F-I-V-Fs [30], coordinated convex F-I-V-Fs [31] and the references therein. We refer to the readers for further analysis of literature on the applications and properties of fuzzy-interval, and inequalities and generalized convex fuzzy mappings, see [32,33,34,35,36,37,38,39,40,41,42,43,44,45] and the references therein.

    The goal of this study is to complete the fuzzy Riemann integrals for interval-valued functions and use these integrals to get the Hermite-Hadamard inequality. These integrals are also used to derive Hermite-Hadamard type inequalities for harmonically convex F-I-V-Fs.

    In this section, we recall some basic preliminary notions, definitions and results. With the help of these results, some new basic definitions and results are also discussed.

    We begin by recalling the basic notations and definitions. We define interval as,

    [ω,ω]={wR:ωwωandω,ωR},whereωω.

    We write len [ω,ω]=ωω, If len [ω,ω]=0 then, [ω,ω] is called degenerate. In this article, all intervals will be non-degenerate intervals. The collection of all closed and bounded intervals of R is denoted and defined as KC={[ω,ω]:ω,ωRandωω}. If ω0 then, [ω,ω] is called positive interval. The set of all positive interval is denoted by KC+ and defined as KC+={[ω,ω]:[ω,ω]KCandω0}.

    We'll now look at some of the properties of intervals using arithmetic operations. Let [ϱ,ϱ],[s,s]KC and ρR, then we have

    [ϱ,ϱ]+[s,s]=[ϱ+s,ϱ+s],
    [ϱ,ϱ]×[s,s]=[min{ϱs,ϱs,ϱs,ϱs},max{ϱs,ϱs,ϱs,ϱs}]
    ρ.[ϱ,ϱ]={[ρϱ,ρϱ]ifρ>0{0}ifρ=0[ρϱ,ρϱ]ifρ<0.

    For [ϱ,ϱ],[s,s]KC, the inclusion "" is defined by [ϱ,ϱ][s,s], if and only if sϱ, ϱs.

    Remark 2.1. The relation "I" defined on KC by

    [ϱ,ϱ]I[s,s]if and only ifϱs,ϱs, (4)

    for all [ϱ,ϱ],[s,s]KC, it is an order relation, see [41]. For given [ϱ,ϱ],[s,s]KC, we say that [ϱ,ϱ]I[s,s] if and only if ϱs,ϱs or ϱs,ϱ<s.

    Moore [13] initially proposed the concept of Riemann integral for I-V-F, which is defined as follows:

    Theorem 2.2. [13] If Ψ:[u,ν]RKC is an I-V-F on such that Ψ(w)=[Ψ(w),Ψ(w)]. Then Ψ is Riemann integrable over [u,ν] if and only if, Ψ and Ψ both are Riemann integrable over [u,ν] such that

    (IR)νuΨ(w)dw=[(R)νuΨ(w)dw,(R)νuΨ(w)dw]. (5)

    Let R be the set of real numbers. A mapping ˜ζ:R[0,1] called the membership function distinguishes a fuzzy subset set A of R. This representation is found to be acceptable in this study. F(R) also stand for the collection of all fuzzy subsets of R.

    A real fuzzy interval ˜ζ is a fuzzy set in R with the following properties:

    (1) ˜ζ is normal i.e. there exists wR such that ˜ζ(w)=1;

    (2) ˜ζ is upper semi continuous i.e., for given wR, for every wR there exist ϵ>0 there exist δ>0 such that ˜ζ(w)˜ζ(y)<ϵ for all yR with |wy|<δ;

    (3) ˜ζ is fuzzy convex i.e., ˜ζ((1ξ)w+ξy)min(˜ζ(w),˜ζ(y)),w,yR and ξ[0,1];

    (4) ˜ζ is compactly supported i.e., cl{wR|˜ζ(w)>0} is compact.

    The collection of all real fuzzy intervals is denoted by F0.

    Let ˜ζF0 be real fuzzy interval, if and only if, θ-levels [˜ζ]θ is a nonempty compact convex set of R. This is represented by

    [˜ζ]θ={wR|˜ζ(w)θ},

    from these definitions, we have

    [˜ζ]θ=[ζ(θ),ζ(θ)],

    where

    ζ(θ)=inf{wR|˜ζ(w)θ},
    ζ(θ)=sup{wR|˜ζ(w)θ}.

    Thus a real fuzzy interval ˜ζ can be identified by a parametrized triples

    {(ζ(θ),ζ(θ),θ):θ[0,1]}.

    These two end point functions ζ(θ) and ζ(θ) are used to characterize a real fuzzy interval as a result.

    Proposition 2.3. [18] Let ˜ζ,˜ΘF0. Then fuzzy order relation "" given on F0 by

    ˜ζ˜Θifandonlyif,[˜ζ]θI[˜Θ]θforallθ(0,1],

    it is partial order relation.

    We'll now look at some of the properties of fuzzy intervals using arithmetic operations. Let ˜ζ,˜ΘF0 and ρR, then we have

    [˜ζ˜+˜Θ]θ=[˜ζ]θ+[˜Θ]θ, (6)
    [˜ζ˜×˜Θ]θ=[˜ζ]θ×[˜Θ]θ, (7)
    [ρ.˜ζ]θ=ρ.[˜ζ]θ. (8)

    For ψF0 such that ˜ζ=˜Θ˜+˜ψ, we have the existence of the Hukuhara difference of ˜ζ and ˜Θ, which we call the H-difference of ˜ζ and ˜Θ, and denoted by ˜ζ˜˜Θ. If H-difference exists, then

    (ψ)(θ)=(ζ˜Θ)(θ)=ζ(θ)Θ(θ),(ψ)(θ)=(ζ˜Θ)(θ)=ζ(θ)Θ(θ). (9)

    Definition 2.4. [38] A fuzzy-interval-valued map ˜Ψ:[u,υ]RF0 is called F-I-V-F. For each θ(0,1], whose θ-levels define the family of I-V-Fs Ψθ:[u,υ]RKC are given by Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)] for all w[u,υ]. Here, for each θ(0,1], the end point real functions Ψ(.,θ),Ψ(.,θ):[u,υ]R are called lower and upper functions of ˜Ψ.

    The following conclusions can be drawn from the preceding literature review [38,39,40]:

    Definition 2.5. Let ˜Ψ:[u,ν]RF0 be an F-I-V-F. Then fuzzy integral of ˜Ψ over [u,ν], denoted by (FR)νu˜Ψ(w)dw, it is given level-wise by

    [(FR)νu˜Ψ(w)dw]θ=(IR)νuΨθ(w)dw={νuΨ(w,θ)dw:Ψ(w,θ)R([u,ν],θ)}, (10)

    for all θ(0,1], where R([u,ν],θ) denotes the collection of Riemannian integrable functions of I-V-Fs. ˜Ψ is FR-integrable over [u,ν] if (FR)νu˜Ψ(w)dwF0. Note that, if Ψ(w,θ),Ψ(w,θ) are Lebesgue-integrable, then Ψ is fuzzy Aumann-integrable function over [u,ν], see [18,39,40].

    Theorem 2.6. Let ˜Ψ:[u,ν]RF0 be a F-I-V-F, whose θ-levels define the family of I-V-Fs Ψθ:[u,ν]RKC are given by Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)] for all w[u,ν] and for all θ(0,1]. Then ˜Ψ is FR-integrable over [u,ν] if and only if, Ψ(w,θ) and Ψ(w,θ) both are R-integrable over [u,ν]. Moreover, if ˜Ψ is FR-integrable over [u,ν], then

    [(FR)νu˜Ψ(w)dw]θ=[(R)νuΨ(w,θ)dw,(R)νuΨ(w,θ)dw]=(IR)νuΨθ(w)dw (11)

    for all θ(0,1]. For all θ(0,1],FR([u,ν],θ) denotes the collection of all FR-integrable F-I-V-Fs over [u,ν].

    Definition 2.7. [42] A set K=[u,υ]R+=(0,) is said to be convex set, if, for all w,yK,ξ[0,1], we have

    wyξw+(1ξ)yK. (12)

    Definition 2.8. [42] The Ψ:[u,υ]R+ is called harmonically convex function on [u,υ] if

    Ψ(wyξw+(1ξ)y)(1ξ)Ψ(w)+ξΨ(y), (13)

    for all w,y[u,υ],ξ[0,1], where Ψ(w)0 for all w[u,υ]. If (13) is reversed then, Ψ is called harmonically concave F-I-V-F on [u,υ].

    Definition 2.11. [30] The F-I-V-F ˜Ψ:[u,υ]F0 is called harmonically convex F-I-V-F on [u,υ] if

    ˜Ψ(wyξw+(1ξ)y)(1ξ)˜Ψ(w)˜+ξ˜Ψ(y), (14)

    for all w,y[u,υ],ξ[0,1], where ˜Ψ(w)˜0, for all w[u,υ]. If (14) is reversed then, ˜Ψ is called harmonically concave F-I-V-F on [u,υ].

    Definition 2.12. The F-I-V-F ˜Ψ:[u,υ]F0 is called harmonically convex F-I-V-F on [u,υ] if

    ˜Ψ(wyξw+(1ξ)y)(1ξ)˜Ψ(w)˜+ξ˜Ψ(y), (15)

    for all w,y[u,υ],ξ[0,1], where ˜Ψ(w)˜0, for all w[u,υ]. If (15) is reversed then, ˜Ψ is called harmonically concave F-I-V-F on [u,υ]. The set of all harmonically convex (harmonically concave) F-I-V-F is denoted by

    HFSX([u,υ],F0)
    (HFSV([u,υ],F0)).

    Theorem 2.13. Let [u,υ] be harmonically convex set, and let ˜Ψ:[u,υ]FC(R) be a F-I-V-F, whose θ-levels define the family of I-V-Fs Ψθ:[u,υ]RK+CKC are given by

    Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)],w[u,υ]. (16)

    for all w[u,υ], θ[0,1]. Then, ˜ΨHFSX([u,υ],F0), if and only if, for all [0,1],Ψ(w,θ), Ψ(w,θ)HSX([u,υ],R+).

    Proof. The demonstration of proof is similar to proof of Theorem 2.12, see [26].

    Example 2.14. We consider the F-I-V-Fs ˜Ψ:[0,2]FC(R) defined by,

    ˜Ψ(w)()={w[0,w]22w(w,2w]0otherwise.

    Then, for each θ[0,1], we have Ψθ(w)=[θw,(2θ)w]. Since Ψ(w,θ), Ψ(w,θ)HSX([u,υ],R+), for each θ[0,1]. Hence ˜ΨHFSX([u,υ],F0).

    Remark 2.15. If T(u,θ)=T(υ,θ) with θ=1, then harmonically convex F-I-V-F reduces to the classical harmonically convex function, see [42].

    In this section, we will prove two types of inequalities. First one is 𝐻.𝐻 and their variant forms, and the second one is H·H Fejér inequalities for convex F-I-V-Fs where the integrands are F-I-V-Fs.

    Theorem 3.1. Let ˜ΨHFSX([u,υ],F0), whose θ-levels define the family of I-V-Fs Ψθ:[u,υ]RK+C are given by Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)] for all w[u,υ], θ[0,1]. If ˜ΨFR([u,υ],θ), then

    ˜Ψ(2uυu+υ)uυυuυu˜Ψ(w)w2dw˜Ψ(u)˜+˜Ψ(υ)2. (17)

    If ˜ΨHFSV([u,υ],F0), then

    ˜Ψ(2uυu+υ)uυυuυu˜Ψ(w)w2dw˜Ψ(u)˜+˜Ψ(υ)2. (18)

    Proof. Let ˜ΨHFSX([u,υ],F0),. Then, by hypothesis, we have

    2˜Ψ(2uυu+υ)˜Ψ(uυξu+(1ξ)υ)˜+˜Ψ(uυ(1ξ)u+ξυ).

    Therefore, for each θ[0,1], we have

    2Ψ(2uυu+υ,θ)Ψ(uυξu+(1ξ)υ,θ)+Ψ(uυ(1ξ)u+ξυ,θ),2Ψ(2uυu+υ,θ)Ψ(uυξu+(1ξ)υ,θ)+Ψ(uυ(1ξ)u+ξυ,θ).

    Then

    210Ψ(2uυu+υ,θ)dξ10Ψ(uυξu+(1ξ)υ,θ)dξ+10Ψ(uυ(1ξ)u+ξυ,θ)dξ,210Ψ(2uυu+υ,θ)dξ10Ψ(uυξu+(1ξ)υ,θ)dξ+10Ψ(uυ(1ξ)u+ξυ,θ)dξ.

    It follows that

    Ψ(2uυu+υ,θ)uυυuυuΨ(w,θ)w2dw,Ψ(2uυu+υ,θ)uυυuυuΨ(w,θ)w2dw.

    That is

    [Ψ(2uυu+υ,θ),Ψ(2uυu+υ,θ)]Iuυυu[υuΨ(w,θ)w2dw,υuΨ(w,θ)w2dw].

    Thus,

    ˜Ψ(2uυu+υ)uυυu(FR)υu˜Ψ(w)w2dw. (19)

    In a similar way as above, we have

    uυυu(FR)υu˜Ψ(w)w2dw˜Ψ(u)˜+˜Ψ(υ)2. (20)

    Combining (19) and (20), we have

    ˜Ψ(2uυu+υ)uυυuυu˜Ψ(w)w2dw˜Ψ(u)˜+˜Ψ(υ)2.

    Hence, the required result.

    Remark 3.2. If Ψ(w,θ)=Ψ(w,θ) with θ=1, then Theorem 3.1 reduces to the result for classical harmonically convex function, see [42]:

    Ψ(2uυu+υ)uυυu(R)υuΨ(w)w2dwΨ(u)+Ψ(υ)2.

    Example 3.3. We consider the FIVFs ˜Ψ:[0,2]FC(R), as in Example 2.14. Then, for each θ[0,1], we have Ψθ(w)=[θw,(2θ)w] is harmonically convex FIVF. Since, Ψ(w,θ)=θw,Ψ(w,θ)=(2θ)w. We now compute the following:

    Ψ(2uυu+υ,θ)uυυuυuΨ(w,θ)w2dwΨ(u,θ)+Ψ(υ,θ)2,
    Ψ(2uυu+υ,θ)=Ψ(0,θ)=0,
    uυυuυuΨ(w,θ)w2dw=0220θww2dw=0,
    Ψ(u,θ)+Ψ(υ,θ)2=θ2,

    for all θ[0,1]. That means

    00θ2.

    Similarly, it can be easily show that

    Ψ(2uυu+υ,θ)uυυuυuΨ(w,θ)w2dwΨ(u,θ)+Ψ(υ,θ)2.

    for all θ[0,1], such that

    Ψ(2uυu+υ,θ)=Ψ(0,θ)=0,
    uυυuυuΨ(w,θ)w2dw=0220(2θ)ww2dw=0,
    Ψ(u,θ)+Ψ(υ,θ)2=(2θ)2.

    From which, we have

    00(2θ)2,

    that is

    [0,0]I[0,0]I12[θ,(2θ)],forallθ[0,1].

    Hence,

    ˜Ψ(2uυu+υ)uυυuυu˜Ψ(w)w2dw˜Ψ(u)˜+˜Ψ(υ)2.

    Theorem 3.4. Let ˜ΨHFSX([u,υ],F0), whose θ-levels define the family of I-V-Fs Ψθ:[u,υ]RK+C are given by Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)] for all w[u,υ], θ[0,1]. If ˜ΨFR([u,υ],θ), then

    ˜Ψ(2uυu+υ)2uυυu(FR)υu˜Ψ(w)w2dw1˜Ψ(u)˜+˜Ψ(υ)2, (21)

    where

    1=12[˜Ψ(u)˜+˜Ψ(υ)2˜+˜Ψ(2uυu+υ)],
    2=12[˜Ψ(4uυu+3υ)˜+˜Ψ(4uυ3u+υ)],

    and 1=[1,1], 2=[2,2]. If ˜ΨHFSV([u,υ],F0), then inequality (21) is reversed.

    Proof. Take [u,2uυu+υ], we have

    2˜Ψ(u4uυu+υξu+(1ξ)2uυu+υ+u4uυu+υ(1ξ)u+ξ2uυu+υ)
    ˜Ψ(u2uυu+υξu+(1ξ)2uυu+υ)˜+˜Ψ(u2uυu+υ(1ξ)u+ξ2uυu+υ).

    Therefore, for every θ[0,1], we have

    2Ψ(u4uυu+υξu+(1ξ)2uυu+υ+u4uυu+υ(1ξ)u+ξ2uυu+υ,θ)Ψ(u2uυu+υξu+(1ξ)2uυu+υ,θ)+Ψ(u2uυu+υ(1ξ)u+ξ2uυu+υ,θ),2Ψ(u4uυu+υξu+(1ξ)2uυu+υ+u4uυu+υ(1ξ)u+ξ2uυu+υ,θ)Ψ(u2uυu+υξu+(1ξ)2uυu+υ,θ)+Ψ(u2uυu+υ(1ξ)u+ξ2uυu+υ,θ).

    In consequence, we obtain

    12Ψ(4uυu+3υ,θ)uυυu2uυu+υuΨ(w,θ)w2dw,12Ψ(4uυu+3υ,θ)uυυu2uυu+υuΨ(w,θ)w2dw.

    That is

    12[Ψ(4uυu+3υ,θ),Ψ(4uυu+3υ,θ)]Iuυυu[2uυu+υuΨ(w,θ)w2dw,2uυu+υuΨ(w,θ)w2dw].

    It follows that

    12˜Ψ(4uυu+3υ)uυυu2uυu+υu˜Ψ(w)w2dw. (22)

    In a similar way as above, we have

    12˜Ψ(4uυ3u+υ)uυυuυ2uυu+υ˜Ψ(w)w2dw. (23)

    Combining (22) and (23), we have

    12[˜Ψ(4uυu+3υ)˜+˜Ψ(4uυ3u+υ)]uυυuυu˜Ψ(w)w2dw. (24)

    Therefore, for every θ[0,1], by using Theorem 3.1, we have

    Ψ(2uυu+υ,θ)12[Ψ(4uυu+3υ,θ)+Ψ(4uυ3u+υ,θ)],Ψ(2uυu+υ,θ)12[Ψ(4uυu+3υ,θ)+Ψ(4uυ3u+υ,θ)],
    =2,=2,
    uυυuυuΨ(w,θ)w2dw,uυυuυuΨ(w,θ)w2dw,
    12[Ψ(u,θ)+Ψ(υ,θ)2+Ψ(2uυu+υ,θ)],12[Ψ(u,θ)+Ψ(υ,θ)2+Ψ(2uυu+υ,θ)],
    =1,=1,
    12[Ψ(u,θ)+Ψ(υ,θ)2+12(Ψ(u,θ)+Ψ(υ,θ))],12[Ψ(u,θ)+Ψ(υ,θ)2+12(Ψ(u,θ)+Ψ(υ,θ))],
    =12[Ψ(u,θ)+Ψ(υ,θ)],=12[Ψ(u,θ)+Ψ(υ,θ)],

    that is

    ˜Ψ(2uυu+υ)2uυυu(FR)υu˜Ψ(w)w2dw112[˜Ψ(u)˜+˜Ψ(υ)].

    Theorem 3.5. Let ˜ΨHFSX([u,υ],F0) and ˜PHFSX([u,υ],F0), whose θ-levels Ψθ,Pθ:[u,υ]RK+C are defined by Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)] and Pθ(w)=[P(w,θ),P(w,θ)] for all w[u,υ], θ[0,1], respectively. If ˜Ψ˜×˜PFR([u,υ],θ), then

    uυυu(FR)υu˜Ψ(w)˜×˜P(w)w2dw˜M(u,υ)3˜+˜N(u,υ)6,

    where ˜M(u,υ)=˜Ψ(u)˜×˜P(u)˜+˜Ψ(υ)˜×˜P(υ),˜N(u,υ)=˜Ψ(u)˜×˜P(υ)˜+˜Ψ(υ)˜×˜P(u), and Mθ(u,υ)=[M((u,υ),θ),M((u,υ),θ)] and Nθ(u,υ)=[N((u,υ),θ),N((u,υ),θ)].

    Proof. Since ˜Ψ,˜P are harmonically convex F-I-V-Fs then, for each θ[0,1] we have

    Ψ(uυ(1ξ)u+ξυ,θ)ξΨ(u,θ)+(1ξ)Ψ(υ,θ),Ψ(uυ(1ξ)u+ξυ,θ)ξΨ(u,θ)+(1ξ)Ψ(υ,θ).

    And

    P(uυ(1ξ)u+ξυ,θ)ξP(u,θ)+(1ξ)P(υ,θ),P(uυ(1ξ)u+ξυ,θ)ξP(u,θ)+(1ξ)P(υ,θ).

    From the definition of harmonically convexity of F-I-V-Fs it follows that ˜Ψ(w)˜0 and ˜P(w)˜0, so

    Ψ(uυ(1ξ)u+ξυ,θ)×P(uυ(1ξ)u+ξυ,θ)(ξΨ(u,θ)+(1ξ)Ψ(υ,θ))(ξP(u,θ)+(1ξ)P(υ,θ))=Ψ(u,θ)×P(u,θ)[(ξ)(ξ)]+Ψ(υ,θ)×P(υ,θ)[(1ξ)(1ξ)]+Ψ(u,θ)P(υ,θ)ξ(1ξ)+Ψ(υ,θ)×P(u,θ)ξ(1ξ),
    Ψ(uυ(1ξ)u+ξυ,θ)×P(uυ(1ξ)u+ξυ,θ)(ξΨ(u,θ)+(1ξ)Ψ(υ,θ))(ξP(u,θ)+(1ξ)P(υ,θ))=Ψ(u,θ)×P(u,θ)[(ξ)(ξ)]+Ψ(υ,θ)×P(υ,θ)[(1ξ)(1ξ)]+Ψ(u,θ)×P(υ,θ)ξ(1ξ)+Ψ(υ,θ)×P(u,θ)ξ(1ξ).

    Integrating both sides of above inequality over [0, 1] we get

    10Ψ(uυ(1ξ)u+ξυ,θ)×P(uυ(1ξ)u+ξυ,θ)=uυυuυuΨ(w,θ)×P(w,θ)w2dw(Ψ(u,θ)×P(u,θ)+Ψ(υ,θ)×P(υ,θ))10(ξ)(ξ)dξ+(Ψ(u,θ)×P(υ,θ)+Ψ(υ,θ)×P(u,θ))10ξ(1ξ)dξ,10Ψ(uυ(1ξ)u+ξυ,θ)×P(uυ(1ξ)u+ξυ,θ)=uυυuυuΨ(w,θ)×P(w,θ)w2dw
    (Ψ(u,θ)×P(u,θ)+Ψ(υ,θ)×P(υ,θ))10(ξ)(ξ)dξ
    +(Ψ(u,θ)×P(υ,θ)+Ψ(υ,θ)×P(u,θ))10ξ(1ξ)dξ.

    It follows that,

    uυυuυuΨ(w,θ)×P(w,θ)dwM((u,υ),θ)3+N((u,υ),θ)6uυυuυuΨ(w,θ)×P(w,θ)dwM((u,υ),θ)3+N((u,υ),θ)6,

    that is

    uυυu[υuΨ(w,θ)×P(w,θ)dw,υuΨ(w,θ)×P(w,θ)dw]
    I13[M((u,υ),θ),M((u,υ),θ)]+16[N((u,υ),θ),N((u,υ),θ)].

    Thus,

    uυυu(FR)υu˜Ψ(w)˜×˜P(w)w2dw˜M(u,υ)3˜+˜N(u,υ)6.

    Theorem 3.6. Let ˜Ψ,˜PHFSX([u,υ],F0), whose θ-levels Ψθ,Pθ:[u,υ]RK+C are defined by Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)] and Pθ(w)=[P(w,θ),P(w,θ)] for all w[u,υ], θ[0,1], respectively. If ˜Ψ˜×˜PFR([u,υ],θ), then

    2˜Ψ(2uυu+υ)˜×˜P(2uυu+υ)uυυu(FR)υu˜Ψ(w)˜×˜P(w)w2dw+˜M(u,υ)6˜+˜N(u,υ)3,

    where ˜M(u,υ)=˜Ψ(u)˜×˜P(u)˜+˜Ψ(υ)˜×˜P(υ),˜N(u,υ)=˜Ψ(u)˜×˜P(υ)˜+˜Ψ(υ)˜×˜P(u), and Mθ(u,υ)=[M((u,υ),θ),M((u,υ),θ)] and Nθ(u,υ)=[N((u,υ),θ),N((u,υ),θ)].

    Proof. By hypothesis, for each θ[0,1], we have

    Ψ(2uυu+υ,θ)×J(2uυu+υ,θ)Ψ(2uυu+υ,θ)×J(2uυu+υ,θ)
    14[Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)]+14[Ψ(uυ(1ξ)u+ξυ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυξu+(1ξ)υ,θ)×J(uυ(1ξ)u+ξυ,θ)],14[Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)]+14[Ψ(uυ(1ξ)u+ξυ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυξu+(1ξ)υ,θ)×J(uυ(1ξ)u+ξυ,θ)],
    14[Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυ(1ξ)u+ξυ,θ)×J(uυξu+(1ξ)υ,θ)]+14[(ξΨ(u,θ)+(1ξ)Ψ(υ,θ))×((1ξ)J(u,θ)+ξJ(υ,θ))+((1ξ)Ψ(u,θ)+ξΨ(υ,θ))×(ξJ(u,θ)+(1ξ)J(υ,θ))],14[Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυξu+(1ξ)υθ)×J(uυξu+(1ξ)υ,θ)]+14[(ξΨ(u,θ)+(1ξ)Ψ(υ,θ))×((1ξ)J(u,θ)+ξJ(υ,θ))+((1ξ)Ψ(u,θ)+ξΨ(υ,θ))×(ξJ(u,θ)+(1ξ)J(υ,θ))],
    =14[Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)]+14[{(ξ)(ξ)+(1ξ)(1ξ)}N((u,υ),θ)+{ξ(1ξ)+ξ(1ξ)}M((u,υ),θ)],=14[Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)+Ψ(uυξu+(1ξ)υ,θ)×J(uυξu+(1ξ)υ,θ)]+14[{(ξ)(ξ)+(1ξ)(1ξ)}N((u,υ),θ)+{ξ(1ξ)+ξ(1ξ)}M((u,υ),θ)].

    Integrating over [0,1], we have

    2Ψ(2uυu+υ,θ)×J(2uυu+υ,θ)1υu(R)υuΨ(w,θ)×J(w,θ)dw+M((u,υ),θ)10ξ(1ξ)dξ+N((u,υ),θ)10(ξ)(ξ)dξ,2Ψ(2uυu+υ,θ)×J(2uυu+υ,θ)1υu(R)υuΨ(w,θ)×J(w,θ)dw+M((u,υ),θ)10ξ(1ξ)dξ+N((u,υ),θ)10(ξ)(ξ)dξ,

    that is

    2˜Ψ(2uυu+υ)˜×˜P(2uυu+υ)uυυu(FR)υu˜Ψ(w)˜×˜P(w)w2dw+˜M(u,υ)6˜+˜N(u,υ)3.

    The theorem has been proved.

    First, we will purpose the following inequality linked with the right part of the classical HH Fejér inequality for harmonically convex F-I-V-Fs through fuzzy order relation, which is said to be 2nd fuzzy HH Fejér inequality.

    Theorem 3.7. (Second fuzzy HH Fejér inequality) Let ˜ΨHFSX([u,υ],F0), whose θ-levels define the family of I-V-Fs Ψθ:[u,υ]RK+C are given by Ψθ(w)=[Ψ(w,θ),Ψ(w,θ)] for all w[u,υ], θ[0,1]. If ˜ΨFR([u,υ],θ) and :[u,υ]R,(11u+1υ1w)=(w)0, then

    (FR)νu˜Ψ(w)w2(w)dw˜Ψ(u)˜+˜Ψ(ν)210(w)w2dw. (25)

    If ˜ΨHFSV([u,υ],F0), then inequality (25) is reversed.

    Proof. Let Ψ be a harmonically convex F-I-V-F. Then, for each θ[0,1], we have

    Ψ(uυ(1ξ)u+ξυ,θ)(uυ(1ξ)u+ξυ)
    (ξΨ(u,θ)+(1ξ)Ψ(ν,θ))(uυ(1ξ)u+ξυ),
    Ψ(uυ(1ξ)u+ξυ,θ)(uυ(1ξ)u+ξυ)
    (ξΨ(u,θ)+(1ξ)Ψ(ν,θ))(uυ(1ξ)u+ξυ). (26)

    And

    Ψ(uυξu+(1ξ)υ,θ)(uυξu+(1ξ)υ)
    ((1ξ)Ψ(u,θ)+ξΨ(ν,θ))(uυξu+(1ξ)υ),
    Ψ(uυξu+(1ξ)υ,θ)(uυξu+(1ξ)υ)
    ((1ξ)Ψ(u,θ)+ξΨ(ν,θ))(uυξu+(1ξ)υ). (27)

    After adding (26) and (27), and integrating over [0,1], we get

    10Ψ(uυ(1ξ)u+ξυ,θ)(uυ(1ξ)u+ξυ)dξ
    +10Ψ(uυξu+(1ξ)υ,θ)(uυξu+(1ξ)υ)dξ10[Ψ(u,θ){ξ(uυ(1ξ)u+ξυ)+(1ξ)(uυξu+(1ξ)υ)}+Ψ(ν,θ){(1ξ)(uυ(1ξ)u+ξυ)+ξ(uυξu+(1ξ)υ)}]dξ,10Ψ(uυ(1ξ)u+ξυ,θ)(uυ(1ξ)u+ξυ)dξ+10Ψ(uυξu+(1ξ)υ,θ)(uυξu+(1ξ)υ)dξ10[Ψ(u,θ){ξ(uυ(1ξ)u+ξυ)+(1ξ)(uυξu+(1ξ)υ)}+Ψ(ν,θ){(1ξ)(uυ(1ξ)u+ξυ)+ξ(uυξu+(1ξ)υ)}]dξ.
    =2Ψ(u,θ)10ξ(uυ(1ξ)u+ξυ)dξ+2Ψ(ν,θ)10ξ(uυξu+(1ξ)υ)dξ,=2Ψ(u,θ)10ξ(uυ(1ξ)u+ξυ)dξ+2Ψ(ν,θ)10ξ(uυξu+(1ξ)υ)dξ.

    Since \nabla is symmetric, then

    = 2\left[{\varPsi }_{*}\left({u}, \theta\right)+{\varPsi }_{*}\left(\nu , \theta\right)\right]{\int }_{0}^{1}\begin{array}{c}\xi \nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)\end{array}d\xi ,
    = 2\left[{\varPsi }^{*}\left({u}, \theta\right)+{\varPsi }^{*}\left(\nu , \theta\right)\right]{\int }_{0}^{1}\begin{array}{c}\xi \nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)\end{array}d\xi . (28)

    Since

    {\int }_{0}^{1}{\varPsi }_{*}\left(\xi {u}+\left(1-\xi \right)\nu , \theta\right)\nabla \left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }\right)d\xi \\ = {\int }_{0}^{1}{\varPsi }_{*}\left(\left(1-\xi \right){u}+\xi \nu , \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \\ = \frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }_{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}\\{\int }_{0}^{1}{\varPsi }^{*}\left(\left(1-\xi \right){u}+\xi \nu , \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \\ = {\int }_{0}^{1}{\varPsi }^{*}\left(\xi {u}+\left(1-\xi \right)\nu , \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi
    = \frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }^{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}. (29)

    From (28) and (29), we have

    \frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }_{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}\le \left[{\varPsi }_{*}\left({u}, \theta\right)+{\varPsi }_{*}\left(\nu , \theta\right)\right]{\int }_{0}^{1}\begin{array}{c}\xi \nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)\end{array}d\xi , \\ \frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }^{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}\le \left[{\varPsi }^{*}\left({u}, \theta\right)+{\varPsi }^{*}\left(\nu , \theta\right)\right]{\int }_{0}^{1}\begin{array}{c}\xi \nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)\end{array}d\xi ,

    that is

    \left[\frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }_{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}, \frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }^{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}\right]
    {\le }_{I}\left[{\varPsi }_{*}\left({u}, \theta\right)+{\varPsi }_{*}\left(\nu , \theta\right), {\varPsi }^{*}\left({u}, \theta\right)+{\varPsi }^{*}\left(\nu , \theta\right)\right]{\int }_{0}^{1}\begin{array}{c}\xi \nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)\end{array}d\xi \text{, }

    hence

    \frac{{u}\upsilon }{\nu -{u}}\left(FR\right){\int }_{{u}}^{\nu }\frac{\widetilde{\varPsi }\left({w}\right)}{{{w}}^{2}}\nabla \left({w}\right)d{w}\preccurlyeq \left[\widetilde{\varPsi }\left({u}\right)\widetilde{+}\widetilde{\varPsi }\left(\nu \right)\right]{\int }_{0}^{1}\xi \nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi ,

    this concludes the proof.

    Next, we construct first H·H Fejér inequality for harmonically convex F-I-V-F, which generalizes first H-H Fejér inequality for harmonically convex function.

    Theorem 3.8. (First fuzzy fractional H-H Fejér inequality) Let \widetilde{\varPsi }\in HFSX\left(\left[{u}, \upsilon \right], {\mathbb{F}}_{0}\right) , whose \theta -levels define the family of I-V-Fs {\varPsi }_{\theta}:\left[{u}, \upsilon \right]\subset \mathbb{R}\to {\mathcal{K}}_{C}^{+} are given by {\varPsi }_{\theta}\left({w}\right) = \left[{\varPsi }_{*}\left({w}, \theta\right), {\varPsi }^{*}\left({w}, \theta\right)\right] for all {w}\in \left[{u}, \upsilon \right] , \theta\in \left[0, 1\right] . If \widetilde{\varPsi }\in {\mathcal{F}\mathcal{R}}_{\left(\left[{u}, \nu \right], \theta\right)} and \nabla :\left[{u}, \upsilon \right]\to \mathbb{R}, \nabla \left(\frac{1}{\frac{1}{{u}}+\frac{1}{\upsilon }-\frac{1}{{w}}}\right) = \nabla \left({w}\right)\ge 0, then

    \widetilde{\varPsi }\left(\frac{2{u}\nu }{{u}+\nu }\right){\int }_{{u}}^{\nu }\frac{\widetilde{\varPsi }\left({w}\right)}{{{w}}^{2}}d{w}\preccurlyeq \left(FR\right){\int }_{{u}}^{\nu }\frac{\widetilde{\varPsi }\left({w}\right)}{{{w}}^{2}}\nabla \left({w}\right)d{w}\text{.} (30)

    If \widetilde{\varPsi }\in HFSV\left(\left[{u}, \upsilon \right], {\mathbb{F}}_{0}\right) , then inequality (30) is reversed.

    Proof. Since \varPsi is a harmonically convex, then for \theta\in \left[0, 1\right], we have

    {\varPsi }_{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right)\le \frac{1}{2}\left(\begin{array}{c}{\varPsi }_{*}\left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }, \theta\right)+{\varPsi }_{*}\left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }, \theta\right)\end{array}\right)
    {\varPsi }^{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right)\le \frac{1}{2}\left(\begin{array}{c}{\varPsi }^{*}\left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }, \theta\right)+{\varPsi }^{*}\left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }, \theta\right)\end{array}\right). (31)

    By multiplying (31) by \nabla \left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }\right) = \nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right) and integrate it by \xi over \left[0, 1\right], we obtain

    {\varPsi }_{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right){\int }_{0}^{1}\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi
    \le \frac{1}{2}\left(\begin{array}{c}{\int }_{0}^{1}{\varPsi }_{*}\left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \\ +{\int }_{0}^{1}{\varPsi }_{*}\left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \end{array}\right)
    {\varPsi }^{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right){\int }_{0}^{1}\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi
    \le \frac{1}{2}\left(\begin{array}{c}{\int }_{0}^{1}{\varPsi }^{*}\left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \\ +{\int }_{0}^{1}{\varPsi }^{*}\left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \end{array}\right). (32)

    Since

    {\int }_{0}^{1}{\varPsi }_{*}\left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }\right)d\xi \\ = {\int }_{0}^{1}{\varPsi }_{*}\left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \\ = \frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }_{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}, \\{\int }_{0}^{1}{\varPsi }^{*}\left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\xi {u}+\left(1-\xi \right)\upsilon }\right)d\xi \\ = {\int }_{0}^{1}{\varPsi }^{*}\left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }, \theta\right)\nabla \left(\frac{{u}\upsilon }{\left(1-\xi \right){u}+\xi \upsilon }\right)d\xi
    = \frac{{u}\upsilon }{\nu -{u}}{\int }_{{u}}^{\nu }{\varPsi }^{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}. (33)

    From (32) and (33), we have

    {\varPsi }_{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right)\le \frac{1}{{\int }_{{u}}^{\nu }\nabla \left({w}\right)d{w}}{\int }_{{u}}^{\nu }{\varPsi }_{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}, \\{\varPsi }^{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right)\le \frac{1}{{\int }_{{u}}^{\nu }\nabla \left({w}\right)d{w}}{\int }_{{u}}^{\nu }{\varPsi }^{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}.

    From which, we have

    \left[{\varPsi }_{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right), {\varPsi }^{*}\left(\frac{2{u}\nu }{{u}+\nu }, \theta\right)\right] \\ \le _{I}\frac{1}{{\int }_{{u}}^{\nu }\nabla \left({w}\right)d{w}}\left[{\int }_{{u}}^{\nu }{\varPsi }_{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}, {\int }_{{u}}^{\nu }{\varPsi }^{*}\left({w}, \theta\right)\nabla \left({w}\right)d{w}\right],

    that is

    \widetilde{\varPsi }\left(\frac{2{u}\nu }{{u}+\nu }\right){\int }_{{u}}^{\nu }\frac{\widetilde{\varPsi }\left({w}\right)}{{{w}}^{2}}d{w}\preccurlyeq \left(FR\right){\int }_{{u}}^{\nu }\frac{\widetilde{\varPsi }\left({w}\right)}{{{w}}^{2}}\nabla \left({w}\right)d{w}\text{.}

    Then we complete the proof.

    Remark 3.9. If \nabla \left({w}\right) = 1 , then from Theorems 3.7 and 3.8, we obtain inequality (17). If {\varPsi }_{*}\left({w}, \theta\right) = {\varPsi }^{*}\left({w}, \theta\right) with \theta = 1, then Theorems 3.7 and 3.8 reduce to classical first and second classical H-H Fejér inequality for classical harmonically convex function.

    Several novel conclusions in convex analysis and associated optimization theory can be obtained using this new class of functions known as harmonically convex F-I-V. The main findings include some new bounds with error estimations via fuzzy Riemann integrals. All of these papers aim to provide new estimations and optimal approaches. But, the main motivation of this paper is that we obtained new method by using fuzzy integrals for harmonically convex F-I-V-Fs calculus. The authors anticipate that this study may inspire more research in a variety of pure and applied sciences fields.

    The authors would like to thank the Rector, COMSATS University Islamabad, Islamabad, Pakistan, for providing excellent research and academic environments and this work was supported by Taif University Researches Supporting Project number (TURSP-2020/326), Taif University, Taif, Saudi Arabia, and the authors T. Abdeljawad and B. Abdalla would like to thank Prince Sultan University for APC and for the support through the TAS research lab.

    All authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.

    The authors declare that they have no competing interests.



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