Research article

Fixed point results of fuzzy mappings with applications

  • Received: 28 December 2022 Revised: 17 February 2023 Accepted: 08 March 2023 Published: 15 March 2023
  • MSC : 46S40, 54H25, 47H10

  • Jleli and Samet introduced the notion of F-metric space as a generalization of traditional metric space and proved Banach contraction principle in the setting of these generalized metric spaces. The aim of this article is to utilize F-metric space and establish some common α-fuzzy fixed point theorems for rational (β-ϕ)-contractive conditions. Our results extend, generalize and unify some well-known results in the literature. As application of our main result, we discuss the solution of fuzzy integrodifferential equations in the setting of a generalized Hukuhara derivative.

    Citation: Amer Hassan Albargi, Jamshaid Ahmad. Fixed point results of fuzzy mappings with applications[J]. AIMS Mathematics, 2023, 8(5): 11572-11588. doi: 10.3934/math.2023586

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  • Jleli and Samet introduced the notion of F-metric space as a generalization of traditional metric space and proved Banach contraction principle in the setting of these generalized metric spaces. The aim of this article is to utilize F-metric space and establish some common α-fuzzy fixed point theorems for rational (β-ϕ)-contractive conditions. Our results extend, generalize and unify some well-known results in the literature. As application of our main result, we discuss the solution of fuzzy integrodifferential equations in the setting of a generalized Hukuhara derivative.



    Fixed point theory is considered to be the most fascinating and vital field of research in the growth of nonlinear analysis. In this extent, Banach fixed point theorem [1] is pioneer result for investigators in last few decades. This theorem plays a significant and essential role in solving the existence and uniqueness of solution to different problems in mathematics, physics, engineering, medicines, and social sciences which guides to mathematical models design by system of nonlinear integral equations, functional equations, and differential equations. In 1960, Zadeh [2] presented the theory of fuzzy set to handle the capricious which generated the imprecision or non-recognition in the first choice to negligence. Heilpern [3] gave the notion of fuzzy mappings and established fixed point theorems in metric linear space. Estruch et al. [4] obtained fuzzy fixed point results for fuzzy mappings in the background of complete metric space. Subsequently, many researchers extended and generalized the result of Estruch et al.[4] in different generalized metric spaces with different contractions.

    Fuzzy differential equations and fuzzy integral equations play a significant role in modeling dynamic systems in which doubts or ambiguities conceptss flourish. These concepts have been built up in specific theoretical directions, and countless use in constructive applications have been examined. Many foundations for analyzing fuzzy differential equations are given. The fundamental and the utmost charming accession is employing the Hukuhara differntiability (H-differentiability) for fuzzy valued functions (see [5,6]). Later on, Kaleva [7] investigated the solution of Fuzzy differential equations. Seikkala [8] solved an initial value problem by considering fuzzy initial value and deterministic or fuzzy function. The investigations regarding the existence and uniqueness of solutions of fuzzy differential and integral equations, large number of redears have used definite fixed point theorems. Although, Subrahmanyam et al. [9] discussed the solutions of integral equations respecting fuzzy multivalued mappings by adopting the well-known Banach contraction principle. Illamizar-Roa et al. [10] discussed the existence and uniqueness of solution of fuzzy initial value problem in the backgroun of a generalized Hukuhara derivatives. These fuzzy differential and integral equations are applied in digital images, specially to restore or separates the images into segments. The researchers can see [11,12,13,14,15,16] for more details in this direction.

    On the other hand, Jleli et al. [17] introduced a new metric space named as F-metric space to generalize the classical metric space in 2018. Later on, Alnaser et al.[18] utilized F-metric space and investigated some fixed point theorems for rational contraction. Al-Mezel et al. [19] introduced (αβ,ϕ)-contractions in F-metric space and obtained some generalized results. Recently, Alansari et al. [20] studied some common fuzzy fixed point results in this F-metric space.

    In this paper, we establish some common α-fuzzy fixed point theorems for rational (β-ϕ)-contractive conditions in the setting of F-metric space to generalize certain results of literature. We also supply a nontrivial example to support our leading result. As an application, we discuss the solution of fuzzy integrodifferential equations in the setting of the generalized Hukuhara derivative which are used in digital images to the better reconstruction in less time.

    Definition 2.1. [2,3] Let W. A fuzzy set in W is a function with W as domain and [0,1] as co-domain. If Ξ1 is a fuzzy set and κW, then Ξ1(κ) is professed to be the grade of membership of κ in Ξ1. An α -level set of Ξ1 is represented by [Ξ1]α and is defined in this way:

    [Ξ1]α={κ:Ξ1(κ)α} if α(0,1],
    [Ξ1]0=¯{κ:Ξ1(κ)>0},

    where ¯Ξ2  is the closure of the set Ξ2. If W is a metric space, then IW  is the collection of all fuzzy sets in W. For Ξ1,Ξ2IW, Ξ1Ξ2 means Ξ1(κ)Ξ2(κ) for all κW. We symbolize the fuzzy set χ{κ} by {κ} before it is expressed, where χ{κ} is the characteristic function of the crisp set Ξ1. Let W1 be an arbitrary set, W2 be a metric space. A mapping O is called fuzzy mapping if O is a mapping from W1 into IW2. A fuzzy mapping O is a fuzzy subset on W1×W2 with membership function O(κ)(ω). The function O(κ)(ω) is the grade of membership of ω in O(κ).

    Definition 2.2. [14] Let O1,O2:WIW. A point κW is called a common α-fuzzy fixed point of O1 and O2 if there exists α[0,1] such that κ[O1κ]α[O2κ]α.

    In 2018, Jleli and Samet [17] introduced a fascinating metric space named as F-metric space as follows:

    Let f:(0,+)R and F denotes the set of functions f satisfying:

    (F1) 0<κ<t implies f(κ)f(t),

    (F2) For {κn}R+, limnκn=0 if and only if limnf(κn)=.

    Definition 2.3. [17] Let W, and let dF:W×W[0,+). Assume that there exists (f,h)F×[0,+) such that

    (D1) (κ,ω)W×W, dF(κ,ω)=0 if and only if κ=ω,

    (D2) dF(κ,ω)=dF(ω,κ), for all (κ,ω)W×W,

    (D3) For every (κ,ω)W×W, for every NN, N2, and for every (ui)Ni=1W, with (u1,uN)=(κ,ω), we have

    dF(κ,ω)>0f(dF(κ,ω))f(N1i=1dF(κi,κi+1))+h.

    Then dF is called a F-metric on W and (W,dF) is called an F-metric space.

    Example 2.1. [17] The function dF:R×R[0,+)

    dF(κ,ω)={(κω)2  if (κ,ω)[0,3]×[0,3],|κω| if (κ,ω)[0,3]×[0,3],

    with f(t)=ln(t) and h=ln(3), is a F-metric.

    Definition 2.4. [17] Let (W,dF) be a F-metric space.

    (i) Let {κn} W. The sequence {κn} is said to be F-convergent to κW if {κn} is convergent to κ with respect to the F-metric dF.

    (ii) The sequence {κn} is said to be F-Cauchy, if and only if

    limn,mdF(κn,κm)=0.

    (iii) If every F-Cauchy sequence in F-metric space (W,dF) is F-convergent to an element of W, then (W,dF) is F-complete.

    Theorem 2.1. [17] Let (W,dF) be a F-metric space and O:WW. Assume that these assertions hold:

    (i) (W,dF) is F-complete,

    (ii) There exists λ(0,1) such that

    dF(O(κ),O(ω))λdF(κ,ω).

    Then there exists κW such that Oκ=κ. Furthermore, for any κ0W, the sequence {κn}W defined by

    κn+1=O(κn),nN,

    is F-convergent to κ.

    Definition 2.5. [19,20] Let (W,dF) be a F -metric space, C(2W) be the set of all nonempty compact subsets of W and Ξ1,Ξ2C(2W). Then,

    dF(κ,Ξ1)=inf{dF(κ,ω):ωΞ1},
    dF(Ξ1,Ξ2)=inf{dF(κ,ω):κΞ1,ωΞ2}.

    A Hausdorff metric HF on C(2W) induced by F-metric dF is given as

    HF(Ξ1,Ξ2)={max{supκΞ1dF(κ,Ξ2),supωΞ2dF(ω,Ξ1)},ifitexists,,                                                               otherwise.

    In 2012, Samet et al. [21] began the notions of β-admissible mapping in this way.

    Definition 2.6. [21] Let O:WW and α:W×W[0,+). Then O is called a β-admissible mapping if

    κ,ωW,β(κ,ω)1β(Oκ,Oω)1.

    Definition 2.7. [22,23] A nondecreasing function ϕ:[0,+)[0,+) is called a comparison function, if ϕn(t)nN 0 as n, for all t(0,+), where ϕn represents the nth iterate of ϕ.

    We represent the set of these comparison functions by Ψ.

    Lemma 2.1. [22,23] If ϕΨ, then these conditions hold:

    (i) Each iterate ϕi of ϕ, for i1 is a comparison function;

    (ii) ϕ(t)<t, for all t>0,

    (iii) ϕ is continuous at 0.

    Lemma 2.2. [20] Let W1 and W2 be nonempty closed and compact subsets of a F-metric space (W,dF). If κW1, then dF(κ,W2)HF(W1,W2).

    Motivated with the notion of β-admissible mapping, we define the concept of βF-admissible mapping in F-metric space as follows:

    Definition 3.1. Let (W,dF) be a F-metric space, β:W×W[0,+) and let O1,O2 be fuzzy mapping from W into F(W). The pair (O1,O2) is called βF-admissible if these assertions hold:

    (i) For each κW and ω[O1κ]αO1(κ), where αO1(κ)(0,1], with β(κ,ω)1, we have β(ω,z)1 for all z[O2ω]αO2(ω), where αO2(ω)(0,1],

    (ii) For each κW and ω[O2κ]αO2(κ), where αO2(κ)(0,1], with β(κ,ω)1, we have β(ω,z)1 for all z[O1ω]αO1(ω), where αO1(ω)(0,1].

    Theorem 3.1. Let (W,dF) be a F-metric space, β:W×W[0,) and let O1,O2 :WIW be fuzzy mappings. Assume that for each κW, there exist αO1(κ),αO2(κ)(0,1] such that [O1κ]αO1(κ),[O2κ]αO2(κ)C(2W). Assume that these assertions also hold:

    (i) (W,dF) be an F-complete,

    (ii) For κ0W, there exists αO1(κ0) or αO2(κ0)(0,1] such that κ1[O1κ0]αO1(κ0) or κ1[O2κ0]αO2(κ0) with β(κ0,κ1)1,

    (iii) There exists ϕΨ such that

    max{β(κ,ω),β(ω,κ)}HF([O1κ]αO1(κ),[O2ω]αO2(ω))ϕ(max(dF(κ,ω),dF(κ,[O1κ]αO1(κ)),dF(ω,[O2ω]αO2(ω)),dF(κ,[O1κ]αO1(κ))dF(ω,[O2ω]αO2(ω))1+dF(κ,ω))) (3.1)

    for all κ,ω W,

    (iii) (O1,O2) is βF -admissible,

    (iv) If {κn} is a sequence in W such that β(κn,κn+1)1 and κnκ as n, then β(κn,κ)1, for all n.

    Then there exists some κ[O1κ]αO1(κ)[O2κ]αO2(κ).

    Proof. For κ0W, there exists αO1(κ0)(0,1] such that [O1κ0]αO1(κ0)C(2W). Since [O1κ0]αO1(κ0) is a nonempty compact subset of W, so there exists κ1 [O1κ0]αO1(κ0) such that dF(κ0,κ1)=dF(κ0,[O1κ0]αO1(κ0)). Now for κ1, there exists αO2(κ1)(0,1] such that [O2κ1]αO2(κ1) C(2W). Since[O2κ1]αO2(κ1) is a nonempty compact subset of W, so there exists κ2 [O2κ1]αO2(κ1) such that dF(κ1,κ2)=dF(κ1,[O2κ1]αO2(κ1)). By hypothesis (ⅱ), Lemma 2.2 and inequality 3.1, we have

    dF(κ1,κ2)=dF(κ1,[O2κ1]αO2(κ1))HF([O1κ0]αO1(κ0),[O2κ1]αO2(κ1))β(κ0,κ1)HF([O1κ0]αO1(κ0),[O2κ1]αO2(κ1))max{β(κ0,κ1),β(κ1,κ0)}HF([O1κ0]αO1(κ0),[O2κ1]αO2(κ1))ϕ(max(dF(κ0,κ1),dF(κ0,[O1κ0]αO1(κ0)),dF(κ1,[O2κ1]αO2(κ1)),dF(κ0,[O1κ0]αO1(κ0))dF(κ1,[O2κ1]αO2(κ1))1+dF(κ0,κ1)))ϕ(max(dF(κ0,κ1),dF(κ0,κ1),dF(κ1,κ2),dF(κ0,κ1)dF(κ1,κ2)1+dF(κ0,κ1)))ϕ(max(dF(κ0,κ1),dF(κ0,κ1),dF(κ1,κ2),dF(κ1,κ2)))=ϕ(max(dF(κ0,κ1),dF(κ1,κ2))). (3.2)

    If max(dF(κ0,κ1),dF(κ1,κ2))=dF(κ1,κ2), then (3.2) becomes

    dF(κ1,κ2)ϕ(dF(κ1,κ2))<dF(κ1,κ2),

    which is a contradiction. It follows that max(dF(κ0,κ1),dF(κ1,κ2))=dF(κ0,κ1). Therefore, we have

    dF(κ1,κ2)ϕ(dF(κ0,κ1)). (3.3)

    Now for κ2W, there exists αO1(κ2)(0,1] such that [O1κ2]αO1(κ2)C(2W). Since [O1κ2]αO1(κ2) is a nonempty compact subset of W, so there exists κ3 [O1κ2]αO1(κ2) such that dF(κ2,κ3)=dF(κ2,[O1κ2]αO1(κ2)). As β(κ0,κ1)1 and the pair (O1,O2) is βF-admissible, so β(κ1,κ2)1. Again by hypothesis (ⅱ), Lemma 2.2 and inequality 3.1, we have

    dF(κ2,κ3)=dF(κ2,[O1κ2]αO1(κ2))HF([O2κ1]αO2(κ1),[O1κ2]αO1(κ2))=HF([O1κ2]αO1(κ2),[O2κ1]αO2(κ1))β(κ2,κ1)HF([O1κ2]αO1(κ2),[O2κ1]αO2(κ1))max{β(κ2,κ1),β(κ1,κ2)}HF([O1κ2]αO1(κ2),[O2κ1]αO2(κ1))ϕ(max(dF(κ2,κ1),dF(κ2,[O1κ2]αO1(κ2)),dF(κ1,[O2κ1]αO2(κ1)),dF(κ2,[O1κ2]αO1(κ2))dF(κ1,[O2κ1]αO2(κ1))1+dF(κ2,κ1)))ϕ(max(dF(κ2,κ1),dF(κ2,κ3),dF(κ1,κ2),dF(κ2,κ3)dF(κ1,κ2)1+dF(κ2,κ1)))ϕ(max(dF(κ1,κ2),dF(κ2,κ3),dF(κ1,κ2),dF(κ2,κ3)))=ϕ(max(dF(κ1,κ2),dF(κ2,κ3))). (3.4)

    If max(dF(κ1,κ2),dF(κ2,κ3))=dF(κ2,κ3), then (3.4) becomes

    dF(κ2,κ3)ϕ(dF(κ2,κ3))<dF(κ2,κ3),

    which is a contradiction. It follows that max(dF(κ1,κ2),dF(κ2,κ3))=dF(κ1,κ2). Therefore, we have

    dF(κ2,κ3)ϕ(dF(κ1,κ2)). (3.5)

    Pursuing in this way by induction, we can construct a sequence {κn} in W such that κ2n+1[O1κ2n]αO1(κ2n), κ2n+2[O2κ2n+1]αO2(κ2n+1) and β(κn1,κn)1,

    dF(κ2n+1,κ2n+2)ϕ(dF(κ2n,κ2n+1)) (3.6)

    and

    dF(κ2n+2,κ2n+3)ϕ(dF(κ2n+1,κ2n+2)) (3.7)

    for all n. It follows from (3.6) and (3.7), we get

    dF(κn,κn+1)ϕ(dF(κn1,κn))ϕn(dF(κ0,κ1)). (3.8)

    Let ϵ>0 be a given positive number and (f,h)F×[0,+) be such that (D3) holds. By (F2), there exists η>0 such that

    0<t<ηf(t)<f(ϵ)h. (3.9)

    Let n(ϵ) N such that nn(ϵ)ϕn(dF(κ0,κ1))<η. Hence by (3.9) and (F1), we have

    f(m1i=nϕn(dF(κ0,κ1))f(nn(ϵ)ϕn(dF(κ0,κ1))f(ϵ)h.

    Now for m>nn(ϵ), we have

    f(dF(κn,κm))f(m1i=ndF(κi,κi+1))+hf(m1i=nϕn(dF(κ0,κ1))+hf(nn(ϵ)ϕn(dF(κ0,κ1))+hf(ϵ).

    It follows by (F1) that dF(κn,κm)<ϵ, m>nn(ϵ). It shows that {κn} is F-Cauchy. As (W,dF) is F -complete, so there exists κW such that {κn} is F-convergent to κ, i.e.,

    limndF(κn,κ)=0. (3.10)

    Now we prove that κ[O1κ]αO1(κ), so we assume that dF(κ,[O1κ]αO1(κ))>0. By condition (iv), we have β(κ2n1,κ)1, for all nN.

    Thus by the definition of f and (D3), we get

    f(dF(κ,[O1κ]αO1(κ)))f(dF(κ,κ2n)+dF(κ2n,[O1κ]αO1(κ)))+hf(dF(κ,κ2n)+HF([O2κ2n1]αO2(κ2n1),[O1κ]αO1(κ)))+hf(dF(κ,κ2n)+β(κ2n1,κ)HF([O2κ2n1]αO2(κ2n1),[O1κ]αO1(κ)))+hf(dF(κ,κ2n)+max{β(κ2n1,κ),β(κ,κ2n1)}HF([O2κ2n1]αO2(κ2n1),[O1κ]αO1(κ)))+h=f(dF(κ,κ2n)+max{β(κ2n1,κ),β(κ,κ2n1)}HF([O1κ]αO1(κ),[O2κ2n1]αO2(κ2n1)))+hf(dF(κ,κ2n)+ϕ(max(dF(κ,κ2n1),dF(κ,[O1κ]αO1(κ)),dF(κ2n1,[O2κ2n1]αO2(κ2n1)),dF(κ,[O1κ]αO1(κ))dF(κ2n1,[O2κ2n1]αO2(κ2n1))1+dF(κ,κ2n1))))+hf(dF(κ,κ2n)+ϕ(max(dF(κ,κ2n1),dF(κ,[O1κ]αO1(κ)),dF(κ2n1,κ2n),dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1))))+h. (3.11)

    Now, we analyze (3.11) under the following cases:

    Case 1. If max(dF(κ,κ2n1),dF(κ,[O1κ]αO1(κ)),dF(κ2n1,κ2n),dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1))=dF(κ,κ2n1). Then (3.11) becomes

    f(dF(κ,[O1κ]αO1(κ)))f(dF(κ,κ2n)+ϕ(dF(κ,κ2n1)))+h.

    Now since {κn} is F-convergent to κ, so by (F2) and the properties of ϕΨ and taking the limit as n, we have

    limnf(dF(κ,[O1κ]αO1(κ)))=limnf(dF(κ,κ2n)+dF(κ,κ2n1))+h=,

    which is a contradiction.

    Case 2. If max(dF(κ,κ2n1),dF(κ,[O1κ]αO1(κ)),dF(κ2n1,κ2n),dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1))=dF(κ,[O1κ]αO1(κ)). Then (3.11) becomes

    f(dF(κ,[O1κ]αO1(κ)))f(dF(κ,κ2n)+ϕ(dF(κ,[O1κ]αO1(κ))))+h.

    Taking the limit as n and using the continuity of f, we have

    f(dF(κ,[O1κ]αO1(κ)))f(ϕ(dF(κ,[O1κ]αO1(κ))))+h. (3.12)

    For h=0, from (3.12) by (F1), we have

    dF(κ,[O1κ]αO1(κ))<ϕ(dF(κ,[O1κ]αO1(κ))),

    which is a contradiction to the fact that ϕΨ and ϕ(t)<t, for all t>0. Hence dF(κ,[O1κ]αO1(κ))=0, that is, κ[O1κ]αO1(κ).

    Case 3. If max(dF(κ,κ2n1),dF(κ,[O1κ]αO1(κ)),dF(κ2n1,κ2n),dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1))=dF(κ2n1,κ2n). Then (3.11) becomes

    f(dF(κ,[O1κ]αO1(κ)))f(dF(κ,κ2n)+ϕ(dF(κ2n1,κ2n)))+h.

    Now since {κn} is F-convergent to κ, so by (F2) and the properties of ϕΨ and taking the limit as n, we have

    limnf(dF(κ,[O1κ]αO1(κ)))=limnf(dF(κ,κ2n)+dF(κ2n1,κ2n))+h=,

    which is a contradiction. Hence dF(κ,[O1κ]αO1(κ))=0, that is, κ[O1κ]αO1(κ).

    Case 4. If max(dF(κ,κ2n1),dF(κ,[O1κ]αO1(κ)),dF(κ2n1,κ2n),dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1))=dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1). Then (3.11) becomes

    f(dF(κ,[O1κ]αO1(κ)))f(dF(κ,κ2n)+ϕ(dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1)))+h.

    Now since {κn} is F-convergent to κ, so by (F2) and the properties of ϕΨ and taking the limit as n, we have

    limnf(dF(κ,[O1κ]αO1(κ)))limnf(dF(κ,κ2n)+dF(κ,[O1κ]αO1(κ))dF(κ2n1,κ2n)1+dF(κ,κ2n1))+h=,

    which is a contradiction. Therefore, we have dF(κ,[O1κ]αO1(κ))=0, that is, κ[O1κ]αO1(κ). Doing the same, we can prove that κ[O2κ]αO2(κ). Thus κ[O1κ]αO1(κ)[O2κ]αO2(κ).

    Example 3.1. Let W=[0,+), define F- metric dF:W×W[0,+) by

    dF(κ,ω)={(κω)2 if (κ,ω)[0,4]×[0,4],|κω|   if (κ,ω)[0,4]×[0,4],

    whenever κ,ωW and f(t)=ln(t) for t>0 and h=ln(4). Then (W,dF) is a F-complete F- metric space but it is not a metric space because dF does not satisfy the triangle inequality as

    dF(1,4)=9>5=dF(1,3)+dF(3,4).

    Furthermore, let α(0,1] and define fuzzy mappings O1,O2:WIW in this way:

    (ⅰ) If κ=0,

    O1(κ)(ι)={1 if ι=0,0 if ι0.

    (ⅱ) If 0<κ<,

    O1(κ)(ι)={α if 0ι<κ260,α3 if κ260ι<κ230,α6 if κ230ι<κ2,0 if κ2ι<.
    O2(ω)(ι)={α if 0ι<ω240,α3 if ω240ι<ω230,α24 if ω230ι<ω2,0 if ω2ι<.

    Now we define ϕ:[0,)[0,) by ϕ(t)=112t for t0. Then ϕΨ. Now for κW, there exist αO1(κ)=(α3)(0,1] and αO2(κ)=(α6)(0,1] such that [O1κ](α3),[O2κ](α6)C(2W). Define β:W×W[0,) by

    β(κ,ω)={1 if κω,0 if κ=ω.

    Now if κ=ω=0, then [O1κ](α3)=[O2ω](α6)={0}. Thus,

    max{β(κ,ω),β(ω,κ)}HF([O1κ](α3),[O2ω](α6))=0ϕ(max(dF(κ,ω),dF(κ,[O1κ](α3)),dF(ω,[O2ω](α6)),dF(κ,[O1κ](α3))dF(ω,[O2ω](α6))1+dF(κ,ω))).

    Now if κ,ω(0,), then

    [O1κ](α3)={ιW:O1κ(ι)α3}=[0,κ230].

    Similarly,

    [O2ω](α6)=[0,ω230].

    Thus for κω and by the definition of dF, we have

    max{β(κ,ω),β(ω,κ)}HF([O1κ](α3),[O2ω](α6))=(κ230ω230)2|(κ+ω30(κω))|2112|κω|2=112dF(κ,ω)ϕ(max(dF(κ,ω),dF(κ,[O1κ](α3)),dF(ω,[O2ω](α6)),dF(κ,[O1κ](α3))dF(ω,[O2ω](α6))1+dF(κ,ω))).

    Thus all assertions of Theorem 3.1 are satisfied. Thus there exists 0[0,+) such that 0[O10](α3)[O20](α6).

    Corollary 3.1. Let (W,dF) be a F-metric space, β:W×W[0,) and let O :WIW be a fuzzy mapping. Assume that for each κW, there exist αO(κ)(0,1] such that [Oκ]αO(κ)C(2W). Assume that these assertions also hold:

    (i) (W,dF) be an F-complete,

    (ii) For κ0W,there exists αO(κ0) (0,1] such that κ1[Oκ0]αO(κ0) with β(κ0,κ1)1,

    (iii) There exists ϕΨ such that

    max{β(κ,ω),β(ω,κ)}HF([Oκ]αO(κ),[Oω]αO(ω))ϕ(max(dF(κ,ω),dF(κ,[Oκ]αO(κ)),dF(ω,[Oω]αO(ω)),dF(κ,[Oκ]αO(κ))dF(ω,[Oω]αO(ω))1+dF(κ,ω)))

    for all κ,ω W ,

    (iii) O is βF-admissible.

    (iv) If {κn} is a sequence in W such that β(κn,κn+1)1 and κnκ as n, then β(κn,κ)1, for all n.

    Then there exists some κ[Oκ]αO(κ).

    Proof. Taking one fuzzy mapping from W into IW in Theorem 3.1.

    Corollary 3.2. Let (W,dF) be a F-metric space and let O1,O2 :WIW be fuzzy mappings. Assume that for each κW, there exist αO1(κ),αO2(κ)(0,1] such that [O1κ]αO1(κ),[O2κ]αO2(κ)C(2W). Assume that these assertions also hold:

    (i) (W,dF) be a F-complete,

    (ii) For κ0W, there exists αO1(κ0) or αO2(κ0)(0,1] such that κ1[O1κ0]αO1(κ0) or κ1[O2κ0]αO2(κ0),

    (iii) There exists ϕΨ such that

    HF([O1κ]αO1(κ),[O2ω]αO2(ω))ϕ(max(dF(κ,ω),dF(κ,[O1κ]αO1(κ)),dF(ω,[O2ω]αO2(ω)),dF(κ,[O1κ]αO1(κ))dF(ω,[O2ω]αO2(ω))1+dF(κ,ω)))

    for all κ,ω W, then there exists some κ[O1κ]αO1(κ)[O2κ]αO2(κ).

    Proof. Taking β:W×W[0,) by β(κ,ω)=1, for all κ,ωW.

    Corollary 3.3. Let (W,dF) be a F-metric space and let O :WIW be fuzzy mapping. Assume that for each κW, there exist αO(κ)(0,1] such that [Oκ]αO(κ)C(2W). Assume that these assertions also hold:

    (i) (W,dF) be an F-complete,

    (ii) For κ0W, there exists αO(κ0) (0,1] such that κ1[Oκ0]αO(κ0),

    (iii) There exists ϕΨ such that

    HF([Oκ]αO(κ),[Oω]αO(ω))ϕ(max(dF(κ,ω),dF(κ,[Oκ]αO(κ)),dF(ω,[Oω]αO(ω)),dF(κ,[Oκ]αO(κ))dF(ω,[Oω]αO(ω))1+dF(κ,ω)))

    for all κ,ω W .

    Then there exists some κ[Oκ]αO(κ).

    Proof. Taking one fuzzy mapping from W into IW in Corollary 3.2.

    Corollary 3.4. Let (W,dF) be a F-metric space, β:W×W[0,) and let R1,R2:WCB(W). Assume that these conditions hold:

    (i) (W,dF) be a F-complete,

    (ii) For each κ0W, there exists κ1R1κ0 with β(κ0,κ1)1.

    (iii) There exists ϕΨ such that

    max{β(κ,ω),β(ω,κ)}HF(R1κ,R2ω)ϕ(max(dF(κ,ω),dF(κ,R1κ),dF(ω,R2ω),dF(κ,R1κ)dF(ω,R2ω)1+dF(κ,ω)))

    for all κ,ω W , (iii) (R1,R2) is β-admissible,

    (iv) If {κn} is a sequence in W such that β(κn,κn+1)1 and κnκ as n, then β(κn,κ)1, for all n.

    Then there exists some κR1κR2κ.

    Proof. Let αO1,αO2:W(0,1] be any two arbitrary mappings and O1,O2 :WIW be defined in this way:

    O1(κ)(t)={αO1(κ), if tR1κ,0, if tR1κ,

    and

    O2(κ)(t)={αO2(κ), if tR2κ,0, if tR2κ.

    Then for all κW, we get

    [O1κ]O1(κ)={tW:O1(κ)(t)αO1(κ)}=R1κ.

    Similarly,

    [O2κ]O2(κ)={tW:O2(κ)(t)αO2(κ)}=R2κ.

    Hence,

    HF([O1κ]O1(κ),[O2ω]O2(ω))=HF(R1κ,R2ω)

    for all κ,ωW and by Theorem 3.1, there exists κW such that

    κ[O1κ]O1(κ)[O2κ]O2(κ)=R1κR2κ.

    Corollary 3.5. Let (W,dF) be a F-metric space, β:W×W[0,) and let R:WCB(W). Assume that these conditions hold:

    (i) (W,dF) be an F-complete,

    (ii) For each κ0W, there exists κ1R1κ0 with β(κ0,κ1)1,

    (iii) There exists ϕΨ such that

    max{β(κ,ω),β(ω,κ)}HF(Rκ,Rω)ϕ(max(dF(κ,ω),dF(κ,Rκ),dF(ω,Rω),dF(κ,Rκ)dF(ω,Rω)1+dF(κ,ω)))

    for all κ,ω W ,

    (iii) R is β-admissible,

    (iv) If {κn} is a sequence in W such that β(κn,κn+1)1 and κnκ as n, then β(κn,κ)1 for all n.

    Then there exists some κRκ.

    Proof. Taking one multivalued mapping from W into CB( W) in Corollary 4.

    Corollary 3.6. Let (W,dF) be a F-metric space and let R1,R2:WCB(W). Assume that these conditions hold:

    (i) (W,dF) be a F-complete,

    (ii) For each κ0W, there exists κ1R1κ0,

    (iii) There exists ϕΨ such that

    HF(R1κ,R2ω)ϕ(max(dF(κ,ω),dF(κ,R1κ),dF(ω,R2ω),dF(κ,R1κ)dF(ω,R2ω)1+dF(κ,ω)))

    for all κ,ω W .

    Then there exists some κR1κR2κ.

    Proof. Taking β:W×W[0,) by β(κ,ω)=1, for all κ,ωW in Corollary 3.4.

    Corollary 3.7. Let (W,dF) be a F-metric space and let R : W CB(W). Assume that these conditions hold:

    (i) (W,dF) be an F-complete,

    (ii) For each κ0W, there exists κ1Rκ0,

    (iii) There exists ϕΨ such that

    HF(Rκ,Rω)ϕ(max(dF(κ,ω),dF(κ,Rκ),dF(ω,Rω),dF(κ,Rκ)dF(ω,Rω)1+dF(κ,ω)))

    for all κ,ω W .

    Then there exists some κRκ.

    Proof. Taking one multivalued mapping in Corollary 3.6.

    In the present section, we discuss the solution of fuzzy integrodifferential equations in the context of generalized Hukuhara derivative.

    We denote Kc(R) the family of all non-empty convex and compact subsets of real numbers R. The notion of Hausdorff metric H in Kc(R) is given in this way:

    H(1,2)=max{supa1infb2abR,supb2infa1abR},

    for 1,2Kc(R). Then the pair (Kc(R),H) is considered as complete metric space (see [12]).

    Definition 4.1. A function :(,+)[0,1] is professed to be a fuzzy number if these assertions hold:

    (i) There exists t0R such that (t0)=1,

    (ii) For 0λ1,

    (λt1+(1λ)t2)min{(t1),(t2)}

    for all t1,t2R.

    (iii) is upper semicontinuous,

    (iv) []0=cl{tR:(t)>0} is compact.

    As a consequence, E1 denotes the set of fuzzy numbers in R with the following property.

    For α(0,1], []α={tR:(t)>α}=[αl,αr] represents α - cut of the fuzzy set . For E1, one has that []αKc(R) for each α[0,1]. The supremum on E1 is defined by

    d(1,2)=supα[0,1]max{|α1,lα2,l|,|α1,rα2,r|}

    for every 1,2E1, where αrαl =diam([]) is called the diameter of []. We designate the class of all continuous fuzzy functions given on [a,b], for ρ>0 as C([a,b],E1).

    From [13], it is famous that the space C([a,b],E1) is a complete metric space regarding

    d(1,2)=suptJd(1(t),2(t)))

    for 1,2C([a,b]).

    Lemma 4.1. [7] Let 1,2 :[a,b]E1 and ηR. Then,

    (i) ba(1+2)(t)dt=ba1(t)dt+ba2(t)dt,

    (ii) baη1(t)dt=ηba1(t)dt,

    (iii) d(1(t),2(t)) is integrable,

    (iv) d(ba1(t)dt,ba2(t)dt) bad(1(t),2(t))dt,

    for t[a,b].

    Definition 4.2. [10] Suppose that En denotes the family of all fuzzy numbers in Rn and ,ω,En. A point is called the Hukuhara difference of and ω, if =ω+ is satisfied. If this Hukuhara difference exists, then it is described by ΘH ω (or ω). Evidently, if ΘH ={0}, and if ΘH ω exists, then it is unique.

    Definition 4.3. [10] Let g:(a,b)En. The function g is called a strongly generalized differentiable (or GH-differentiable) at t0(a,b), if g/G(t0) En such that

    g(t0+δ)ΘHg(t0),g(t0)ΘHg(t0δ)

    and

    limδ0+g(t0+δ)ΘHg(t0)δ=limδ0+g(t0)ΘHg(t0δ)δ=g/G(t0).

    Now Considering

    {/(t)=g(t,(t)),  tJ=[a,ρ](0)=0,    (4.1)

    where / is appropriated as GH-differentiable and g:J×E1E1 is continuous. The initial data 0 is supposed in E1. We show the family of all g:JE1 with continuous derivative as C1(J,E1).

    Lemma 4.2. A function C1(J,E1) is a solution of (4.1) if and only if it satisfies the following:

    (t)=0ΘH(1)tag(s,(s))ds,  tJ=[a,ρ].

    Theorem 4.1. Let g:J×E1E1 be continuous such that:

    (i) For <ω and tJ, we have g(t,)<g(t,ω);

    (ii) There exist some constants τ>0 such that λ(0,12(ρa)), such that

    g(t,(t))g(t,ω(t))RτmaxtJ{d(,ω)eτ(ta)}

    if <ω for each tJ and ,ωE1, where d(,ω) is the supremum on E1. Then (4.1) has a fuzzy solution in C1(J,E1).

    Proof. Let τ>0 and C1(J,E1) equipped with

    dτ(,ω)=suptJ{d((t),ω(t))eτ(ta)},

    ,ωC1(J,E1). Then with g()=ln(),>0 and h=0, (C1(J,E1),dτ) is complete F-complete metric space.

    Let M,Q:W(0,1]. For W, take

    L(t)=0ΘH(1)tag(s,(s))ds.

    Assume <ω. Then it follows by assumption (i) that

    L(t)=0ΘH(1)tag(s,(s))ds<0ΘH(1)tag(s,ω(s))ds=Rω(t).

    Thus L(t)Rω(t). Consider O1, O2:WEW defined by

    μO1(r)={M(), if r(t)=L(t),0, otherwise.
    μO2ω(r)={Q(ω), if r(t)=Rω(t),0, otherwise.

    Take αO1()=M() and αO2(ω)=Q(ω), we get

    [O1]αO1()={rW:(O1)(t)M()}={L(t)},

    and likewise [O2ω]αO1(ω)={Rω(t)}, so

    H([O1]αO1(),[O2ω]αO1(ω))=max{sup[O1]αO1(),ω[O2ω]αO1(ω)infωR,supω[O2ω]αO1(ω),[O1]αO1()infωR}max{suptJL(t)Rω(t)R}=suptJL(t)Rω(t)R=suptJtag(s,(s))dst0g(s,ω(s))dsRsuptJ{tag(s,(s))g(s,ω(s))ds}suptJ{taduλmax{D(,ω)eτ(ta)}ds}λsuptJ{(ta)max{D(,ω)eτ(ta)}}λ(ρa)dτ(,ω)12dτ(,ω)=ϕ(dτ(,ω))ϕ(max(dτ(,ω),dτ(,[O1]αO1()),dτ(ω,[O2ω]αO1(ω)),dτ(,[O1]αO1())dτ(ω,[O2ω]αO1(ω))1+dτ(,ω))).

    Hence, all the hypotheses of Theorem 3.1 are satisfied with ϕ(t)=12t, for t>0. Thus is a solution of (4.1).

    In this article, we have proved some significant common α-fuzzy fixed point theorems for rational (β,ϕ)-contractive conditions in the context of complete F-metric spaces. The established theorems improved and generalized different conventional theorems in fuzzy fixed point theory. We also discussed the solution of fuzzy integrodifferential equations in the background of a generalized Hukuhara derivative as application of our leading result which deals with uncertainties in decision making. The established results are important contribution and generalization of the existing results in fuzzy fixed point theory. Our results can be extended and improved for intuitionistic fuzzy mappings as a future work.

    This research work was funded by Institutional Fund Projects under grant no. IFPIP: 1074-130-1443. The authors gratefully acknowledge the technical and financial support provided by the Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia.

    The authors declare that they have no conflicts of interest.



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