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Research article

Common solutions to some extended system of fuzzy ordered variational inclusions and fixed point problems

  • Received: 22 November 2022 Revised: 08 April 2023 Accepted: 27 April 2023 Published: 25 May 2023
  • MSC : 47H09, 49J40

  • The main aim of this work is to use the XOR-operation technique to find the common solutions for a new class of extended system of fuzzy ordered variational inclusions with its corresponding system of fuzzy ordered resolvent equations involving the operation and fixed point problems, which are slightly different from corresponding problems considered in several recent papers in the literature and are more advantageous. We establish that the system of fuzzy ordered variational inclusions is equivalent to a fixed point problem and a relationship between a system of fuzzy ordered variational inclusions and a system of fuzzy ordered resolvent equations is shown. We prove the existence of a common solution and discuss the convergence of the sequence of iterates generated by the algorithm for a considered problem. The iterative algorithm and results demonstrated in this article have witnessed, a significant improvement for many previously known results of this domain. Some examples are constructed in support of the main results.

    Citation: Iqbal Ahmad, Mohd Sarfaraz, Syed Shakaib Irfan. Common solutions to some extended system of fuzzy ordered variational inclusions and fixed point problems[J]. AIMS Mathematics, 2023, 8(8): 18088-18110. doi: 10.3934/math.2023919

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  • The main aim of this work is to use the XOR-operation technique to find the common solutions for a new class of extended system of fuzzy ordered variational inclusions with its corresponding system of fuzzy ordered resolvent equations involving the operation and fixed point problems, which are slightly different from corresponding problems considered in several recent papers in the literature and are more advantageous. We establish that the system of fuzzy ordered variational inclusions is equivalent to a fixed point problem and a relationship between a system of fuzzy ordered variational inclusions and a system of fuzzy ordered resolvent equations is shown. We prove the existence of a common solution and discuss the convergence of the sequence of iterates generated by the algorithm for a considered problem. The iterative algorithm and results demonstrated in this article have witnessed, a significant improvement for many previously known results of this domain. Some examples are constructed in support of the main results.



    The variational inclusion problem propelled by Hassouni and Moudafi [16] is a general version of the variational inequality problem introduced by Stampacchia [28] and Fichera [15] in the past decade. As per use of the variational inequalities and inclusions problems, these will help us solve and design various schemes to solve problems that arose in pure and applied sciences (i.e., network equilibrium, traffic network problems, economics, and many more) [10,11,13,24,25,26,27,33].

    On the other hand, Zadeh [31] came up with a very interesting and fascinating object called fuzzy sets; as the theory for fuzzy sets evolved, it has extensively been utilized in different disciplines of mathematical research, as well as other areas of pure and applied sciences. The emergence of fuzzy sets were due to a small, notable, and powerful extension as an addition of an interval [0,1] instead of a set {0,1} to the co-domain of the characteristic function as χ:CH[0,1]. After this powerful characterization, this concept will enter into a new zone and the discussion of crisp and fuzzy sets came into existence. It also fulfills the gaps between computer science and mathematics, and even many more subjects too.

    Variational inequalities for fuzzy mappings were first introduced and studied by Chang and Zhu [9] in 1989. Following this, many authors have gone through the sandwich concept of variational inequalities and fuzzy mappings for their matter of interest for deep and well mannered details [7,8,12,17,18,22,23].

    Another problem, known as the fixed point problem, plays an essential role in the theory of nonlinear analysis, algorithmic development, optimization, and applications across all the discipline of pure and applied sciences, and many more [10,14,29,30,32]. Therefore, the fixed point problem is the problem of obtaining pH such that S(p)=p, where S is a nonlinear mapping on H. In this paper, we use Fix(S) to denote the fixed point set of S, that is, Fix(S)={pH:S(p)=p}.

    The idea of calculating the number of fixed points in an ordered Banach space was propelled by Amman [1]. Then, people working on variational inclusion and inequalities problems in ordered spaces jumped into the lead and various ways of computing the fixed points/solution of variational inclusion/inequalities problems in the light of ordered Hilbert/Banach spaces. Li and his team has grab the title to first work on ordered resolvent equations and their corresponding ordered variational inequalities/inclusion problems [19,20,21]. They created a nice line of work regarding the mixture of ordered variational inequalities/inclusion problems involving the concept of operators (e.g., XOR, XNOR, OR and AND).

    Motivated by the research of this inclination, Ahmad and his team enrich the work of Li and his team and improvise the structure of resolvent equations corresponding with their variational inequalities/inclusion problems in a broader settings involving XOR, XNOR operator, etc. [2,3,4,5].

    The whole draft is divided into multiple segments: The first segment is a well equipped collection of basic preliminaries; the second segment is devoted to the formulation of the system of fuzzy ordered variational inclusions with its corresponding system of fuzzy ordered resolvent equations involving operation and fixed point problems, and discusses the existence of common solution results; a subsegment is also devoted to iterative schemes and a convergence result for the system of fuzzy ordered variational inclusions with its corresponding system of resolvent equations involving operation and fixed point problems and the last segment is devoted to the conclusion in which the future scope of the problem is discussed and a comprehensive record of references is there.

    Throughout the manuscript, we assume that H is an ordered Banach space endowed with a norm and an inner product ,. Let 2H (respectively, CB(H)) be the family of all non-void (respectively, non-empty closed and bounded) subsets of H.

    Let F(H) be a collection of all fuzzy sets defined over H. A map F:HF(H) is said to be fuzzy mapping on H. For each pH, F(p) (in the sequel, it will be denoted by Fp) is a fuzzy set on H and Fp(q) is the membership degree of q in Fp.

    A fuzzy mapping F:HF(H) is said to be closed if for each pH, the function qFp(q) is upper semi-continuous, that is, for any given net {qα}H, satisfying qαq0H, we have

    limαsupFp(qα)Fp(q0).

    For RF(H) and λ[0,1], the set (R)λ={pH:R(p)λ} is called a λ-cut set of R. Let F:HF(H) be a closed fuzzy mapping satisfying the following condition:

    () If there exists a function a:H[0,1] such that for each pH, the set (Fp)a(p)={qH:Fp(q)a(p)} is a nonempty bounded subset of H.

    If F is a closed fuzzy mapping satisfying the condition (), then for each pH, (Fp)a(p)CB(H). In fact, let {qα}(Fp)a(p) be a net and qαq0H, then (Fp)a(p)a(p), for each α. Since F is a closed, we have

    Fq(q0)limαsupFp(qα)a(p),

    which implies that q0(Fp)a(p) and so (Fp)a(p)CB(H).

    For the presentation of the results, let us demonstrate some known definitions and results.

    Definition 2.1. [14,19] A nonempty subset C of H is called a normal cone if there exists a constant ν>0 such that for 0pq, we have ||p||ν||q||, for any p,qH.

    Definition 2.2. [8] Let G:HH be a single-valued mapping. Then,

    (i) G is said to be β-ordered compression mapping, if G is a comparison mapping and

    G(p)G(q)β(pq),for0<β<1.

    (ii) G is said to be ϑ-order non-extended mapping, if there exists a constant ϑ>0 such that

    ϑ(pq)G(p)G(q),for allp,qH.

    Definition 2.3. [21] A mapping N:H×HH is said to be (κ,ν)-ordered Lipschitz continuous, if pq, uv, then N(p,u)N(q,v) and there exist constants κ,ν>0 such that

    N(p,u)N(q,v)κ(pq)+ν(uv),for allp,q,u,vH.

    Definition 2.4. [19] A compression mapping h:HH is said to be restricted accretive mapping if there exist two constants ξ1,ξ2(0,1] such that for any a,zH,

    (h(p)+I(p))(h(q)+I(q))ξ1(h(p)h(q))+ξ2(pq)

    holds, where I is the identity mapping on H.

    Definition 2.5. [4,20] A set-valued mapping A:HCB(H) is said to be D-Lipschitz continuous, if for any p,qH, pq, there exists a constant δDA>0 such that

    D(A(p),A(q))δDA(pq),for allp,q,u,vH.

    Definition 2.6. [4] Let G:HH be a strong comparison and ϑ-order non-extended mapping. Then, a comparison mapping B:H2H is said to be an ordered (α,λ)-XOR-weak-ANODD set-valued mapping if B is α-weak-non-ordinary difference mapping and λ-XOR-ordered strongly monotone mapping, and [GλB](H)=H, for λ,β,α>0.

    Definition 2.7. [4] Let G:HH be a strong comparison and ϑ-order non-extended mapping. Let B:H2H be an ordered (α,λ)-XOR-weak-ANODD set-valued mapping. The resolvent operator JλB:HH associated with B is defined by

    JλB(p)=[GλB]1(p),pH, (2.1)

    where λ>0 is a constant.

    Lemma 2.1. [4,20,21] Let be an XNOR operation and be an XOR operation. Then, the following relations hold:

    (i) pp=pp=0, pq=qp=(pq)=(qp);

    (ii) (λp)(λq)=|λ|(pq);

    (iii) 0pq, if pq;

    (iv) (p+q)(u+v)(pu)+(qv);

    (v) If p,q and w are comparative to each other, then (pq)pw+wq;

    (vi) (αp)(βp)=|αβ|p=(αβ)p, if p0,

    (vii) pqpqνpq;

    (viii) If pq, then pq=pq, for all p,q,u,v,wH and α,β,λR.

    Lemma 2.2. Let G:HH be a strong comparison and ϑ-order non-extended mapping. Let B:H2H be an ordered (α,λ)-XOR-weak ANODD set-valued mapping with respect to JλB, for αλ>1. Then, the resolvent operator JλB satisfying the following condition:

    JλB(p)JλB(q)1ϑ(αλ1)(pq),p,qHp,

    i.e., the resolvent operator JλB is 1ϑ(αλ1)-nonexpansive mapping.

    Lemma 2.3. [4] Let G:HH be a strong comparison and ϑ-order non-extended mapping. Let B:H×H2H be an ordered (α,λ)-XOR-weak ANODD set-valued mapping with respect to the first argument. The resolvent operator JλB:HH associated with B is defined by

    JλB(.,z)(p)=[GλB(.,z)]1(p),for zH. (2.2)

    Then, for any given zH, the resolvent operator JλB(.,z):HH is well-defined, single valued, continuous, comparison and 1ϑ(αλ1)-nonexpansive mapping with λα>1, that is

    JλB(.,z)(p)JλB(.,z)(q)1ϑ(αλ1)(pq),for allp,qH. (2.3)

    For each iΛ={1,2,3,,m}, let Hi be an ordered Banach space equipped with the norm .i and Ki be a normal cone with normal constant νi, and let hi,Gi:HiHi and Ni:mj=1HjHi be the ordered single-valued comparison mappings, respectively. Let Si,Ui,Vi:HiFi(Hi) be closed fuzzy mappings satisfying the following condition (), with functions di,ci,ei:Hi[0,1] such that for each piHi, we have (Si,pi)di(pi),(Ui,pi)ci(pi), and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Bi:Hi×Hi2Hi be the set-valued mapping. We consider the following extended nonlinear system of fuzzy ordered variational inclusions involving the operation and the solution set is denoted by ENSFOVI(Ni,Gi,Bi,hi,i=1,2,,m):

    For each iΛ and some ωi>0, find (p1,p2,,pm)mi=1Hi such that Si,pi(pi)di(pi),Ui,pi(pi)ci(pi) and Vi,pi(pi)ei(pi), i.e., qi(Si,pi)di(pi),ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi),

    {0N1(q1,q2,,qm)G1(u1)+ω1B1(h1(p1),v1),0N2(q1,q2,,qm)G2(u2)+ω2B2(h2(p2),v2),0N3(q1,q2,,qm)G3(u3)+ω3B3(h3(p3),v3),...0Nm(q1,q2,,qm)Gm(um)+ωmBm(hm(pm),vm). (3.1)

    Equivalently, for each iΛ,

    0Ni(q1,q2,,qm)Gi(ui)+ωiBi(hi(pi),vi). (3.2)

    Some special cases of problem (3.2) are as follows:

    (i) For i=1, if N1(q1,q2,,qm)=N1(q1,q2) and ω1=1, then problem (3.2) reduces to the problem of finding p1,q1,q2,u1,z1H1 such that

    0N1(q1,q2)G1(u1)+B1(h1(p1),v1). (3.3)

    Problem (3.3) was considered and studied by Ahmad et al. [4].

    (ii) For i=1, if S1,U1,V1=I(identity mapping), B1=1, N1 is single-valued mapping and N1(p1,p2,,pm)=N1(p1), then problem (3.2) reduces to the problem of finding p1H1 such that

    ω1N1(p1)G1(p1). (3.4)

    Problem (3.4) was considered and studied by Li et al. [21].

    By taking suitable choices of the mappings hi,Ni,Bi,Si,Ui,Vi and the space Hi, for each iΛ, in above problem (3.1), one can easily obtain the problems considered and studied in [1,2,3,4,19,20,21] and references therein.

    For each iΛ={1,2,3,,m}, putting di(pi)=ci(pi)=ei(pi)=1, for all piHi, problem (3.1) includes many kinds of variational inequalities and variational inclusion problems [7,9,17,22,23,24].

    In support of our problem (3.2), we provide the following example.

    Example 3.1. For each iΛ={1,2,3,,m}, let Hi=[0,11i] and C = {piHi:0pi5i} be the normal cone. Let Si,Ui,Vi:HiFi(Hi) be the closed fuzzy mappings and the mappings di,ci,ei:Hi[0,1] defined by for all pi,qi,ui,viHi.

    Si,pi(qi)={13i+|qi2i|,ifpi[0,1],13i+pi|qi2i|,ifpi(1,11i],Ui,pi(ui)={12i2+(uii)2,ifpi[0,1],12i+pi(uii)2,ifpi(1,11i],
    Vi,p(vi)={1i+pi|vi3i|,ifpi[0,1],12i+|vi3i|,ifpi(1,11i],di(pi)={15i,ifpi[0,1],13i+2ipi,ifpi(1,11i],
    ci(pi)={13i2,ifpi[0,1],1i(2+ipi),ifpi(1,11i],andei(pi)={1i+3ipi,ifpi[0,1],15i,ifpi(1,11i].

    For any pi[0,1], we have

    (Si,pi)di(pi)={qi:Si,pi(qi)15}={{qi:13i+|qi2i|15i}=[0,4i],(Ui,pi)ci(pi)={ui:Ui,pi(ui)13i2}={ui:12i2+(uii)213i2}=[0,2i],(Vi,pi)ei(pi)={vi:Vi,pi(vi)1i+3ipi}={vi:1i+pi|vi3i|1i+3ipi}=[0,6i],

    and for any pi(1,11i], we have

    (Si,pi)di(pi)={qi:Si,pi(qi)13i+2ipi}={{qi:13i+pi|qi2i|13i+2ipi}=[0,4i],(Ui,pi)ci(pi)={ui:Ui,pi(ui)1i(2+ipi)}={ui:12i+pi(uii)21i(2+ipi)}=[0,2i],(Vi,pi)ei(pi)={vi:Vi,pi(vi)15i}={vi:12i+|vi3i|15i}=[0,6i].

    Now, we define the single-valued mappings hi,Gi:HiHi and Ni:mj=1HjHi by

    hi(pi)=pi5,Gi(ui)=ui7andNi(q1,q2,,qm)=19mi=1qi,

    and the set-valued mapping Bi:Hi×Hi2Hi defined by

    Bi(hi(pi),vi)={hi(pi)+vi5:pi[0,11i]andvi(Vi,pi)ci(pi)}.

    In the above view, it is easy to verify that 0Ni(q1,q2,,qm)Gi(ui)+ωiBi(hi(pi),vi), that is, problem (3.2) is satisfied.

    Example 3.2. For i=1, let H1=Rnp, Ω be a non-empty subset of Rnp, B1 is single valued mapping and V1=I (identity mapping), and the other functions, that is G1,N1,S1,U1,d1,c1 are equal to zero and the fuzzy coalitions of players are identified with the measurable functions e1 from Ω to [0,1]. Define B:H1×H1H1 by

    B(h1(p1),p1)=LP(h1(u),u)h1(u)du,

    we associate each player with its action P(.,u), where P:Ω×H1Rnp, Ω is a non-empty subset of Rnp, and each fuzzy coalition h1(u) with its action LP(h1(u),u)h1(u)du. This continuum of players problem can be obtained from xtended system of fuzzy ordered variational inclusions (3.1). For more details see Chapter 13 and Exercise 13.2 of the book "Optima and equilibria" by Aubin [6] and Example 3.1 in [4].

    Related to the extended nonlinear system of fuzzy ordered variational inclusions (3.2), we consider the following extended nonlinear system of fuzzy ordered resolvent equations problem:

    For each iΛ, find (p1,p2,,pm)mi=1Hi such that siHi,Si,pi(pi)di(pi),Ui,pi(pi)ci(pi) and Vi,pi(pi)ei(pi), i.e., qi(Si,pi)di(pi),ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi),

    Ni(q1,q2,,qm)λ1iωiRBi(.,vi)(si)=Gi(ui), (3.5)

    where λi>0 is a constant and RBi(.,vi)(si)=[IiAiJλiBi(.,vi)](si).

    The following lemma ensures the equivalence between the extended nonlinear system of fuzzy ordered variational inclusions involving the operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).

    Lemma 3.1. For each iΛ, let Ai,hi:HiHi and Ni:mj=1HjHi be the nonlinear ordered single-valued comparison mappings, respectively. Let Si,Ui,Vi:HiFi(Hi) and Bi:Hi×Hi2Hi be the set-valued mappings. Then, the followings are equivalent for each iΛ,

    (i) (p1,p2,,pm)mi=1Hi is a solution of problem (3.1),

    (ii) for each i, piHi such that qi(Si,pi)di(pi),ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi) is a fixed point of a mapping Ti:Hi2Hi defined by

    Ti(pi)=Ni(q1,q2,,qm)Gi(ui)+ωiBi(hi(pi),vi)+pi, (3.6)

    (iii) (p1,p2,,pm)mi=1Hi is a solution of the following equation:

    hi(pi)=JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))], (3.7)

    (iv) (p1,p2,,pm)mi=1Hi is a solution of the problem (3.5), where

    si=Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui)),hi(pi)=JλiBi(.,vi)(si). (3.8)

    Proof. (i)(ii) For each iΛ, adding pi to both sides of (3.2), we have

    0Ni(q1,q2,,qm)Gi(ui)+ωiBi(hi(pi),vi)piNi(q1,q2,,qm)Gi(ui)+ωiBi(hi(pi),vi)+pi=Ti(pi).

    Hence, pi is a fixed point of Ti, for each iΛ.

    (ii)(iii) Let pi be a fixed point of Ti, then

    piTi(pi)=Ni(q1,q2,,qm)Gi(ui)+ωiBi(hi(pi),vi)+piAi(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))[AiλiBi(,vi)](hi(pi)).

    Hence, hi(pi)=JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))], for each iΛ.

    (iii)(iv) Taking si=Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui)), from (3.7), we have hi(pi)=JλiBi(.,vi)(si), so,

    si=Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui)),

    which implies that

    siAi(JλiBi(.,vi)(si))=λiωi(Ni(q1,q2,,qm)Gi(ui))[IiAiJλiBi(.,vi)](si)=λiωi(Ni(q1,q2,,qm)Gi(ui))Ni(q1,q2,,qm)λ1iωiRBi(.,vi)(si)=Gi(ui).

    Consequently, (p1,p2,,pm)mi=1Hi is a solution of the extended system of fuzzy ordered resolvent equations problem (3.5), for each iΛ.

    (iv)(i), from (3.8) we have

    hi(pi)=JλiBi(.,vi)(si)=JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))],

    so

    Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))[AiλiBi(.,vi)]hi(pi),

    which implies

    0Ni(q1,q2,,qm)Gi(ui)+ωiBi(hi(pi),vi).

    Therefore, (p1,p2,,pm)mi=1Hi is a solution of extended nonlinear system of fuzzy ordered variational inclusions (3.1), for each iΛ. This completes the proof.

    In this section, we discuss an existence and convergence result for the extended nonlinear system of fuzzy ordered variational inclusions (3.1) and corresponding its extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).

    Theorem 4.1. For each iΛ={1,2,3,,m}, let Hi be a real Banach space equipped with the norm .i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:HiFi(Hi) be closed fuzzy mappings satisfying the following condition (), with functions di,ci,ei:Hi[0,1] such that for each piHi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi,Gi:HiHi and Ni:mj=1HjHi be the nonlinear single-valued mappings. Let Bi:Hi×Hi2Hi be an ordered (αi,λi)-XOR-weak ANODD set-valued mapping with respect to the first argument. For each iΛ, suppose that the following conditions hold:

    (i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi(0,1) and ζi,ηi(0,1], respectively;

    (ii) Ai is continuous and τi-oredered compression mapping, τi(0,1);

    (iii) Gi is continuous, ϑi-order non-extended mapping and μi-oredered compression mapping, μi(0,1) and ϑi>0, respectively;

    (iv) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each jΛ,ij, respectively;

    (v) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.

    If the following conditions

    (a)JλiBi(.,xi)(pi)JλiBi(.,yi)(pi)ξi(xiyi),for allpi,xi,yiHi,ξi>0, (4.1)
    (b){Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiωλiμiδUi+λiκiδSi)<ωimin{1,1νi},Θi+mΛ,iνλθωκ,iδS,i<1,θi=1ϑi(αiλi1)andαiλi>1,for alliΛ (4.2)

    are satisfied, then there exists (p1,p2,,pm)mi=1Hi such that qi(Si,pi)di(pi),ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi) satisfies the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5) and so (p1,p2,,pm) is a solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2), respectively.

    Proof. By Lemma 3.1, it is sufficient to prove that there exists (p1,p2,,pm) satisfying (3.1). For each iΛ, we define ϕi:mj=1HjHi by

    ϕi(p1,p2,,pm)=pi+hi(pi)JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))], (4.3)

    for all (p1,p2,,pm)mi=1Hi. Define . on mi=1Hi by

    (p1,p2,,pm)=mi=1pii,(p1,p2,,pm)mi=1Hi. (4.4)

    It is easy to see that (mi=1Hi,.) is a Banach space. Additionally, define ψ:mi=1Himi=1Hi as follows:

    ψ(p1,p2,,pm)=(ϕ1(p1,p2,,pm),ϕ2(p1,p2,,pm),,ϕm(p1,p2,,pm)), (4.5)

    for all (p1,p2,,pm)mi=1Hi. First of all, we prove that ψ is a contraction mapping.

    Let (p1,p2,,pm),(ˆp1,ˆp2,,ˆpm)mi=1Hi be given. By assumptions (i)(v) and Lemma 2.1, for each iΛ, we have

    0ϕi(p1,p2,,pm)ϕi(ˆp1,ˆp2,,ˆpm)=[pi+hi(pi)JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))]][ˆpi+hi(ˆpi)JλiBi(.,ˆvi)[Ai(hi(ˆpi))λiωi(Ni(ˆq1,ˆq2,,ˆqm)Gi(ˆui))]]ζi(piˆpi)+ηi(hi(ˆpi)hi(ˆpi))+ξi(viˆvi)+JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))]JλiBi(.,vi)[Ai(hi(ˆpi))λiωi(Ni(ˆq1,ˆq2,,ˆqm)Gi(ˆui))]ζi(piˆpi)+ηi(hi(ˆpi)hi(ˆpi))+ξiDi(Vi(pi),Vi(ˆpi))+θi((Ai(hi(pi))Ai(hi(ˆpi)))λiωi((Ni(q1,q2,,qm)Gi(ui))(Ni(ˆq1,ˆq2,,ˆqm)Gi(ˆui))))ζi(piˆpi)+ηiβi(piˆpi)+ξiδVi(piˆpi)+θi((τiβi(piˆpi))λiωi(μi(uiˆui))(Ni(q1,q2,,qm)Ni(ˆq1,ˆq2,,ˆqm)))(ζi+ηiβi+ξiδVi)(piˆpi)+(θi(τiβiωiλiμiδUi)ωi(piˆpi))(λiθiωi(Ni(q1,q2,,qm)Ni(ˆq1,ˆq2,,ˆqm))). (4.6)

    Since Ni is a κi-ordered comparison mapping in the ith arguments and a κij-ordered comparison mapping in the jth arguments (ij), and Si is ordered δSi-Lipschitz continuous mapping.

    Ni(q1,q2,,qm)Ni(ˆq1,ˆq2,,ˆqm)Ni(q1,q2,,qi1,qi,qi+1,,qm)Ni(q1,q2,,qi1,ˆqi,qi+1,,qm)+jΛ,ij(Ni(q1,q2,,qj1,qj,qj+1,,qm)Ni(q1,q2,,qj1,ˆqj,qj+1,,qm))κi(qiˆqi)+jΛ,ijκi,j(qjˆqj)κiDi(Si(pi),Si(ˆpi))+jΛ,ijκi,jDj(Sj(pj),Sj(ˆpj))κiδSi(piˆpi)+jΛ,ijκi,jδSi,j(pjˆpj). (4.7)

    Using (4.7), (4.6) becomes

    ϕi(p1,p2,,pm)ϕi(ˆp1,ˆp2,,ˆpm)(ζi+ηiβi+ξiδVi)(piˆpi)+(θi((τiβiωiλiμiδUi)+λiκiδSi)ωi(piˆpi))(λiθiωijΛ,ijκi,jδSi,j(pjˆpj)).

    By Definition 2.1 and Lemma 2.2, we have

    ϕi(p1,p2,,pm)ϕi(ˆp1,ˆp2,,ˆpm)iΘipiˆpii+νiλiθiωijΛ,ijκi,jδSi,jpjˆpjj, (4.8)

    where Θi=(νi(ζi+ηiβi+ξiδSi)+νiθi(τiβiωiλiμiδUi+λiκiδSiωi).

    From (4.5) and (4.8), we get

    ψ(p1,p2,,pm)ψ(ˆp1,ˆp2,,ˆpm)=mi=1ϕi(p1,p2,,pm)ϕi(ˆp1,ˆp2,,ˆpm)imi=1(Θipiˆpii+νiλiθiωijΛ,ijκi,jδSi,jpjˆpjj)=(Θ1+m=2νλθωκ,1δS,1)p1ˆp11+(Θ2+mΛ,2νλθωκ,2δS,2)p2ˆp22+(Θ3+mΛ,3νλθωκ,3δS,3)p3ˆp33++(Θm+m=1νλθωκ,mδS,m)pmˆpmmmax{Θi+mΛ,iνλθωκ,iδS,i:iΛ}mi=1piˆpii,

    i.e.,

    ψ(p1,p2,,pm)ψ(ˆp1,ˆp2,,ˆpm)Ω(p1,p2,,pm)(ˆp1,ˆp2,,ˆpm), (4.9)

    where Ω=max{Θi+mΛ,iνλθωκ,iδS,i:iΛ}. The condition (4.2) guarantees that 0Ω<1. By the inequality (4.9), we note that ψ is a contraction mapping. Therefore, there exists a unique point (p1,p2,,pm)mi=1Hi such that ψ(p1,p2,,pm)=(p1,p2,,pm). From (4.3) and (4.5), it follows that (p1,p2,,pm) such that qi(Si,pi)di(pi),ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi) satisfies in Eq (3.7), i.e., for each iΛ,

    hi(pi)=JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))].

    By Lemma 3.1, we conclude that (p1,p2,,pm)mi=1Hi is a unique solution of the extended system of fuzzy ordered variational inclusions (3.2) and satisfies the extended system of fuzzy ordered resolvent equations problem (3.5). This completes the proof.

    For each iΛ, let Qi:HiHi be a γi-ordered Lipschitz continuous mapping. We define the self-mapping R:mi=1Himi=1Hi by

    R(p1,p2,,pm)=(Q1p1,Q2p2,,Qmpm),(p1,p2,,pm)mi=1Hi. (4.10)

    Then, R=(Q1,Q2,,Qm):mi=1Himi=1Hi is a max{γi:iΛ}-ordered Lipschitz continuous mapping with respect to the norm . in mi=1Hi. To see this fact, let (p1,p2,,pm),(ˆp1,ˆp2,,ˆpm)mi=1Hi be given. Then, we have

    R(p1,p2,,pm)R(ˆp1,ˆp2,,ˆpm)=mi=1QipiQiˆpiimi=1γipiˆpiimax{γi:iΛ}mi=1piˆpii=max{γi:iΛ}(p1,p2,,pm)(ˆp1,ˆp2,,ˆpm).

    We denote the sets of all fixed points of Qi,iΛ and R by Fix(Qi) and Fix(R), respectively, and the set of all solutions of the extended nonlinear system of fuzzy ordered variational inclusions (3.1) by ENSFOVI(Ni,Gi,Bi,hi,i=1,2,,m). In view of (4.10), for any (p1,p2,,pm)mi=1Hi,(p1,p2,,pm)Fix(R) if and only if piFix(Qi),iΛ, i.e., Fix(R)=Fix(Q1,Q2,,Qm)=mi=1Fix(Qi).

    If (p1,p2,,pm)Fix(R)ESFOVI(Ni,Gi,Bi,hi,i=1,2,,m), then by using Lemma 3.1, one can easily to see that for each iΛ,

    {pi=Qipi=pihi(pi)+JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))]=Qi[pihi(pi)+JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))]]. (4.11)

    Based on Lemma 3.1, we construct an iterative algorithm for finding the approximate solution of problem (3.1).

    Iterative Algorithm 4.1. For each iΛ={1,2,3,,m}, let Ai,hi,Gi:HiHi and Ni:mj=1HjHi be the nonlinear ordered single-valued comparison mappings, respectively. Let Si,Ui,Vi:HiFi(Hi) be closed fuzzy mappings that satisfy the following condition (), with functions di,ci,ei:Hi[0,1] such that for each piHi, qi(Si,pi)di(pi),ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi). Let Bi:Hi×Hi2Hi be the set-valued mapping. For any given pi,0Hi, qi,0(Si,pi,0)di(pi,0),ui,0(Ui,pi,0)ci(pi,0) and vi,0(Vi,pi,0)ei(pi,0), compute the sequences {pi,n},{qi,n},{ui,n},{vi,n}, and {si,n} by the following iterative schemes with the supposition that pi,n+1pi,n, qi,n+1qi,n, ui,n+1ui,n, vi,n+1vi,n, and si,n+1si,n, for each iΛ and n=0,1,2,,

    {si,n+1=Ai(hi(pi,n))λiωi(Ni(q1,n,q2,n,,qm,n)Gi(ui,n)),pi,n+1=(1αn)pi,n+αnQi[pi,n+hi(pi,n)JλiBi(.,vi,n)(si,n+1)]+ri,n,qi,n+1(Spi,n+1)di(pi,n+1),qi,n+1qi,n(1+1n+1)D((Si,pi,n+1)di(pi,n+1),(Si,pi,n)di(pi,n)),ui,n+1(Upi,n+1)ci(pi,n+1),ui,n+1ui,n(1+1n+1)D((Ui,pi,n+1)ci(pi,n+1),(Ui,pi,n)ci(pi,n)),vi,n+1(Vpi,n+1)ei(pi,n+1),vi,n+1vi,n(1+1n+1)D((Vi,pi,n+1)ei(pi,n+1),(Vi,pi,n)ei(pi,n)), (4.12)

    where αn is a sequence in interval [0,1] satisfying n=0αn=, {ri,n} are sequences in Hi introduced to take the possible inexact computation of the resolvent operator point satisfying the following conditions into account: ri,n0=ri,n and n=0(r1,n,r2,n,,rm,n)<.

    If for each iΛ, Qi=I, then Algorithm 4.1 reduces to the following algorithm.

    Iterative Algorithm 4.2. For each iΛ, let Ai,hi,Gi,Ni,Bi,Si,Ui,Vi,di,ci,ei be the same as in Theorem 4.1 such that all the conditions of Algorithm 4.1 are satisfied. For any given pi,0Hi, qi,0(Si,pi,0)di(pi,0),ui,0(Ui,pi,0)ci(pi,0) and vi,0(Vi,pi,0)ei(pi,0), compute the sequences {pi,n},{qi,n},{ui,n},{vi,n} and {si,n} by the following iterative schemes with the supposition that pi,n+1pi,n, qi,n+1qi,n, ui,n+1ui,n, vi,n+1vi,n and si,n+1si,n, for each iΛ and n=0,1,2,,

    {si,n+1=Ai(hi(pi,n))λiωi(Ni(q1,n,q2,n,,qm,n)Gi(ui,n)),pi,n+1=(1αn)pi,n+αn[pi,n+hi(pi,n)JλiBi(.,vi,n)(si,n+1)]+ri,n,qi,n+1(Spi,n+1)di(pi,n+1),qi,n+1qi,n(1+1n+1)D((Si,pi,n+1)di(pi,n+1),(Si,pi,n)di(pi,n)),ui,n+1(Upi,n+1)ci(pi,n+1),ui,n+1ui,n(1+1n+1)D((Ui,pi,n+1)ci(pi,n+1),(Ui,pi,n)ci(pi,n)),vi,n+1(Vpi,n+1)ei(pi,n+1),vi,n+1vi,n(1+1n+1)D((Vi,pi,n+1)ei(pi,n+1),(Vi,pi,n)ei(pi,n)), (4.13)

    where the sequences {αn} and {ri,n} are the same as in Algorithm 4.1.

    Theorem 4.2. For each iΛ, let Ai,hi,Gi,Ni,Bi,Si,Ui,Vi,di,ci,ei be the same as in Theorem 4.1 such that all the conditions of Theorem 4.1 are satisfied. Let Qi:HiHi be a γi-ordered Lipschitz continuous mapping and R=(Q1,Q2,,Qm):mi=1Himi=1Hi be a max{γi:iΛ}-ordered Lipschitz continuous mapping with respect to the norm . in mi=1Hi. In addition, assume that the following conditions are satisfied:

    {Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiωλiμiδUi+λiκiδSi)<ωimin{1,1νi},Θi+mΛ,iγλθωκ,iδS,i<1,θi=1ϑi(αiλi1)andαiλi>1for alliΛ. (4.14)

    If limn(r1,n(r1,n),r2,n(r2,n),,rm,n(rm,n))=0, then there exists pi,siHi such that qi(Si,pi)di(pi), ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi), for each iΛ satisfying the extended system of fuzzy ordered resolvent equations (3.5) and so (pi,qi,ui,vi) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of Fix(Q1,Q2,,Qm), and the iterative sequences {pi,n},{qi,n},{ui,n} and {vi,n} generated by Algorithm 4.1 converge strongly pi,qi,ui and vi in Fix(Q1,Q2,,Qm)ESFOVI(Ni,Gi,Bi,hi,i=1,2,,m), for each iΛ, respectively.

    Proof. By Algorithm 4.1, Theorem 4.1, Lemmas 2.1 and 2.3, we have

    pi,n+1pi,ni=[(1αn)pi,n+αnQi(pi,n+hi(pi,n)JλiBi(.,vi,n)(si,n+1))+ri,n][(1αn)pi,n1+αnQi(pi,n1+hi(pi,n1)JλiBi(.,vi,n1)(si,n))]i(1αn)pi,npi,n1i+αnγi(pi,n+hi(pi,n))(pi,n1+hi(pi,n1))i+αnγi(JλiBi(.,vi,n)(si,n+1)JλiBi(.,vi,n)(si,n)i+JλiBi(.,vi,n)(si,n)JλiBi(.,vi,n1)(si,n)i)+αnri,n0i(1αn)pi,npi,n1i+αnγi(pi,n+hi(pi,n))(pi,n1+hi(pi,n1))i+αnγiθisi,n+1si,ni+αnγiξivi,nvi,n1i+αnri,n0i. (4.15)

    Since hi is a βi-ordered compression and a (ζi,ηi)-restricted-accerative mapping, respectively, and Vi is δVi-D-Lipschitz continuous mapping, we have

    (pi,n+hi(pi,n))(pi,n1+hi(pi,n1))ζi(pi,npi,n1)+ηi(hi(pi,n)hi(pi,n1))=(ζi+ηiβi)(pi,npi,n1), (4.16)

    and

    (vi,nvi,n1)(1+1n+1)δVi(pi,npi,n1). (4.17)

    Since hi is a βi-ordered compression mapping, Gi is a μi-ordered compression mapping, Ai is a τi-ordered compression mapping, Ui is a δi-ordered compression mapping, and Ui is a δUi-D-Lipschitz continuous mapping, we have

    si,n+1si,n=[Ai(hi(pi,n))λiωi(Ni(q1,n,q2,n,,qm,n)Gi(ui,n))[Ai(hi(pi,n1))λiωi(Ni(q1,n1,q2,n1,,qm,n1)Gi(ui,n1))](τiβiλiμiδUiωi(1+1n+1))(pi,npi,n1)λiωi(Ni(q1,n,q2,n,,qm,n)Ni(q1,n1,q2,n1,,qm,n1)). (4.18)

    Since Ni is a κi-ordered comparison mapping in the ith arguments and a κij-ordered comparison mapping in the jth arguments (ij), and Si is an ordered δSi-Lipschitz continuous mapping.

    Ni(q1,n,q2,n,,qm,n)Ni(q1,n1,q2,n1,,qm,n1)κiδSi(1+1n+1)(pi,npi,n1)+jΛ,ijκi,jδSi,j(1+1n+1)(pj,npj,n1). (4.19)

    Using (4.19), (4.18) becomes

    si,n+1si,ni(τiβiλiμiδUiωi(1+1n+1)+λiκiδSiωi(1+1n+1))pi,npi,n1i+λiωijΛ,ijκi,jδSi,j(1+1n+1)pj,npj,n1i. (4.20)

    From (4.20), (4.15) becomes

    pi,n+1pi,ni(1αn)pi,npi,n1i+αnγi(ζi+ηiβi)pi,npi,n1i+αnγiθi(τiβiλiμiδUiωi(1+1n+1)+λiκiδSiωi(1+1n+1))pi,npi,n1i+αnλiγiθiωijΛ,ijκi,jδSi,j(1+1n+1)pj,npj,n1i+αnγiξiδVi(1+1n+1)pi,npi,n1i+αnri,n0i(1αn)pi,npi,n1i+Θi,npi,npi,n1i+αnλiγiθiωijΛ,ijκi,jδSi,j(1+1n+1)pj,npj,n1i+αnri,n0i, (4.21)

    where Θi,n=[γi(ζi+ηiβi)+γiθi(τiβiλiμiδUiωi(1+1n+1)+λiκiδSiωi(1+1n+1))+γiξiδVi(1+1n+1)].

    Using (4.21), we have

    (p1,n+1,p2,n+1,,pm,n+1)(p1,n,p2,n,,pm,n)=mi=1pi,n+1pi,nimi=1[(1αn)pi,npi,n1i+αnΘi,npi,npi,n1i+αnγiλiθiωijΛ,ijκi,jδSi,j(1+1n+1)pj,npj,n1j+ri,n0i](1αn)(p1,n,p2,n,,pm,n)(p1,n1,p2,n1,,pm,n1)+αnmax1im{Θi,n+(1+1n+1)mΛ,iγλθωκ,iδS,i:iΛ}mi=1pi,npi,n1i+(r1,n(r1,n),r2,n(r2,n),,rm,n(rm,n)),

    i.e.,

    (p1,n+1,p2,n+1,,pm,n+1)(p1,n,p2,n,,pm,n)[1αn(1Ωi,n)](p1,n+1,p2,n+1,,pm,n+1)(p1,n,p2,n,,pm,n)+(r1,n(r1,n),r2,n(r2,n),,rm,n(rm,n)), (4.22)

    where Ωi,n=max1im{Θi,n+(1+1n+1)mΛ,iγλθωκ,iδS,i:iΛ}.

    Letting

    Ω=max1im{Θi+mΛ,iνλθωκ,iδS,i:iΛ}

    and

    Θi=[γi(ζi+ηiβi+ξiδVi)+γiθi(τiβiλiμiδUiωi+λiκiδSiωi)].

    By condition (4.2), we have 0Ω<1, thus {(p1,n,p2,n,,pm,n)} is a Cauchy sequence in mi=1Hi and as mi=1Hi is complete, there exists (p1,p2,,pm)mi=1Hi such that (p1,n,p2,n,,pm,n)(p1,p2,,pm) as n. Additionally, for each iΛ, pi,npi as n. From (4.12) of Algorithm 4.1 and D-Lipschitz continuity of Si, Ui and Vi, we have

    qi,n+1qi,n(1+1n+1)δDSi(pi,n+1pi,n), (4.23)
    ui,n+1ui,n(1+1n+1)δDUi(pi,n+1pi,n), (4.24)
    vi,n+1vi,n(1+1n+1)δDVi(pi,n+1pi,n). (4.25)

    It is clear from (4.23)(4.25) that {qi,n}, {ui,n} and {vi,n} are also Cauchy sequences in Hi, so there exist qi, ui and vi in Hi such that qi,nqi, ui,nui and vi,nvi as n, for each iΛ. Additionally, for each iΛ, by using the continuity of the operators hi,Si, Ui, Vi, JλB(.,vi) and Algorithm 4.1, we have

    pi=Qi[pi+hi(pi)JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))]]=pi+hi(pi)JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))],

    which implies that

    hi(pi)=JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))].

    By Lemma 3.1, we conclude that (p1,p2,,pm) is a solution of problem (3.2). It remains to show that qi(Si,pi)di(pi), ui(Ui,pi)ci(pi) and vi(Vi,pI)ei(pi). Using Lemma 2.1, in fact,

    di(qi,(Si,pi)di(pi))qiqi,ni+di(qi,n,(Si,pi)di(pi))qiqi,ni+Di((Si,pi,n)di(pi,n),(Si,pi)di(pi))qi,nqii+δDSipi,npii0,asn.

    Hence qi(Si,pi)di(pi). Similarly, we can show that ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi), for each iΛ. This completes the proof.

    Taking Qi=I(identity mapping), for each iΛ in Algorithm 4.1, we can also prove the existence and convergence result for the extended nonlinear system of fuzzy ordered variational inclusions involving the operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).

    Corollary 4.1. For each iΛ={1,2,3,,m}, let Hi be a real Banach space equipped with the norm .i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:HiFi(Hi) be closed fuzzy mappings that satisfies the following condition (), with functions di,ci,ei:Hi[0,1] such that for each piHi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi,Gi:HiHi and Ni:mj=1HjHi be nonlinear single-valued mappings. Let Bi:Hi×Hi2Hi be an ordered (αi,λi)-XOR-weak-ANODD set-valued mapping with respect to the first argument. Suppose that the following conditions hold:

    (i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi(0,1) and ζi,ηi(0,1], respectively;

    (ii) Ai is continuous and τi-oredered compression mapping, τi(0,1);

    (iii) Gi is continuous, ϑi-order non-extended mapping and μi-oredered compression mapping, μi(0,1) and ϑi>0, respectively;

    (iv) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each jΛ,ij, respectively;

    (v) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.

    In addition, the following conditions hold:

    (a)JλiBi(.,xi)(pi)JλiBi(.,yi)(pi)ξi(xiyi),for allpi,xi,yiHi,ξi>0, (4.26)
    (b){Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiωiλiμiδUi+λiκiδSi)<ωi,Θi+mΛ,iλθωκ,iδS,i<1,θi=1ϑi(αiλi1)andαiλi>1,for alliΛ. (4.27)

    If limn(r1,n(r1,n),r2,n(r2,n),,rm,n(rm,n))=0, then there exists pi,siHi such that qi(Si,pi)di(pi), ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi), for each iΛ that satisfies the extended system of fuzzy ordered resolvent equations (3.5) and so (pi,qi,ui,vi) is a solution of the extended system of fuzzy ordered variational inclusions (3.2), and the iterative sequences {pi,n},{qi,n},{ui,n}, and {vi,n} generated by Algorithm 4.2 converge strongly pi,qi,ui and vi in ESFOVI(Ni,Gi,Bi,hi,i=1,2,,m), for each iΛ, respectively.

    Taking Gi=I(identity mapping), for each iΛ in Algorithm 4.1, we can also prove the existence and convergence results for the extended nonlinear system of fuzzy ordered variational inclusions involving the operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).

    Corollary 4.2. For each iΛ={1,2,3,,m}, let Hi be a real Banach space equipped with the norm .i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:HiFi(Hi) be closed fuzzy mappings satisfying the following condition (), with functions di,ci,ei:Hi[0,1] such that for each piHi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi:HiHi and Ni:mj=1HjHi be the nonlinear single-valued mappings. Let Qi:HiHi be a γi-ordered Lipschitz continuous mapping and R=(Q1,Q2,,Qm):mi=1Himi=1Hi be a max{γi:iΛ}-ordered Lipschitz continuous mapping with respect to the norm . in mi=1Hi. Let Bi:Hi×Hi2Hi be a ordered (αi,λi)-XOR-weak-ANODD set-valued mapping with respect to the first argument. Suppose that the following conditions hold:

    (i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi(0,1) and ζi,ηi(0,1], respectively;

    (ii) Ai is continuous and τi-oredered compression mapping, τi(0,1);

    (iii) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each jΛ,ij, respectively;

    (iv) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.

    In addition, the following conditions hold:

    (a)JλiBi(.,xi)(pi)JλiBi(.,yi)(pi)ξi(xiyi),for allpi,xi,yiHi,ξi>0, (4.28)
    (b){Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiωiλiδUi+λiκiδSi)<ωimin{1,1νi},Θi+mΛ,iλθωκ,iδS,i<1,θi=1ϑi(αiλi1)andαiλi>1,for alliΛ. (4.29)

    If limn(r1,n(r1,n),r2,n(r2,n),,rm,n(rm,n))=0, then there exists pi,siHi such that qi(Si,pi)di(pi), ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi), for each iΛ satisfying the extended nonlinear system of fuzzy ordered resolvent equation (3.5) and so (pi,qi,ui,vi) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of Fix(Q1,Q2,,Qm), and the iterative sequences {pi,n},{qi,n},{ui,n} and {vi,n} generated by Algorithm 4.1 converge strongly pi,qi,ui and vi in Fix(Q1,Q2,,Qm)ENSFOVI(Ni,Gi,Bi,hi,i=1,2,,m), for each iΛ, respectively.

    Taking αn=1,for allnN in Algorithm 4.1, we can also prove the existence and convergence result for the extended nonlinear system of fuzzy ordered variational inclusions involving the operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).

    Corollary 4.3. For each iΛ={1,2,3,,m}, let Hi be a real Banach space equipped with the norm .i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:HiFi(Hi) be closed fuzzy mappings satisfying the following condition (), with functions di,ci,ei:Hi[0,1] such that for each piHi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi,Gi:HiHi and Ni:mj=1HjHi be the nonlinear single-valued mappings. Let Bi:Hi×Hi2Hi be a ordered (αi,λi)-XOR-weak-ANODD set-valued mapping with respect to the first argument. Suppose that the following conditions hold:

    (i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi(0,1) and ζi,ηi(0,1], respectively;

    (ii) Ai is continuous and τi-oredered compression mapping, τi(0,1);

    (iii) Gi is continuous, ϑi-order non-extended mapping and μi-oredered compression mapping, μi(0,1) and ϑi>0, respectively;

    (iv) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each jΛ,ij, respectively;

    (v) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.

    In addition, the following conditions hold:

    (a)JλiBi(.,xi)(pi)JλiBi(.,yi)(pi)ξi(xiyi),for allpi,xi,yiHi,ξi>0, (4.30)
    (b){Θi=(ζi+ηiβi+ξiδVi)+θi(τiβiλiμiδUi+λiκiδSi)<1,Θi+mΛ,iλθωκ,iδS,i<1,θi=1ϑi(αiλi1)andαiλi>1,for alliΛ. (4.31)

    If limn(r1,n(r1,n),r2,n(r2,n),,rm,n(rm,n))=0, then there exists pi,siHi such that qi(Si,pi)di(pi), ui(Ui,pi)ci(pi) and vi(Vi,pi)ei(pi), for each iΛ satisfying the extended nonlinear system of fuzzy ordered resolvent equation (3.5) and so (pi,qi,ui,vi) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of Fix(Q1,Q2,,Qm) and the iterative sequences {pi,n},{qi,n},{ui,n} and {vi,n} generated by Algorithm 4.1 converge strongly pi,qi,ui and vi in Fix(Q1,Q2,,Qm)ENSFOVI(Ni,Gi,Bi,hi,i=1,2,,m), for each iΛ, respectively.

    The following numerical example gives the guarantee that all the proposed conditions of Theorems 4.1 and 4.2 are satisfied.

    Example 4.1. For each iΛ={1,2,3,,m}, and let Hi=R, with the usual inner product and norm and Ki={piHi:0pi1} be a normal cone with normal constant δi=1i. Let Si,Ui,Vi and di,ci,ei be defined the same as in Example 3.1. Let hi,Ai,Gi,Qi:HiHi, and Ni:mj=1HjHi be the mappings defined by for all piHi and jΛ,

    hi(pi)=pi13i,Ai(pi)=pi3i,Gi(pi)=pi7i,Qi(pi)=pi2iandTi(p1,p2,,pj,,pm)=xj30ij.

    It is easy to verify that hi is a 110i-ordered compression and an (111i,1)-ordered restricted-accretive mapping, Gi is 19i-ordered compression and 15i-ordered non-extended mapping, and Ai is 12i-ordered compression mapping. Further,

    Ni(p1,p2,,pj1,pj,pj+1,,pm)Ni(p1,p2,,pi1,ˆpi,pi+1,,pm)=pi30i2ˆpi30i2130i(piˆpi).

    Hence, Ni is a 130i-ordered compression mapping in the ith argument.

    Ni(p1,p2,,pm)Ni(ˆp1,ˆp2,,ˆpm)Ni(p1,p2,,pi1,pi,pi+1,,pm)Ni(p1,p2,,pi1,ˆpi,pi+1,,pm)+jΛ,ij(Ni(p1,p2,,pj1,pj,pj+1,,pm)Ni(p1,p2,,pj1,ˆpj,pj+1,,pm))=130i2(piˆpi)+jΛ,ij130ij(pjˆpj)130i(piˆpi)+jΛ,ij130ij(pjˆpj).

    Suppose that the mappings Bi:Hi×Hi2Hi are defined by

    Bi(hi(pi),pi)={13i3hi(pi)+4i2pi}={5i2pi},piHi.

    It is easy to verify that Bi is a 2i2-ordered rectangular compression mapping and a 1i-weak-ordered different comparison mapping. Additionally, it is clear that for λi=1i, [GiλiBi](Hi)=Hi, for each iΛ. Hence, Bi is an ordered (2i2,1i)-XOR-weak ANODD set-valued mapping.

    The resolvent operator defined by (2.1) associated with Bi is given by

    RλiBi(.,vi)(pi)=7i135i2pi,piHi, (4.32)

    It is easy to examine that the resolvent operator defined above is a comparison, a single-valued mapping, and RλiBi(.,vi) is 55i211i1-ordered Lipschitz continuous.

    For each iΛ, in particular ωi=2i and we define ϕi:mj=1HjHi by

    ϕi(p1,p2,,pm)=pi+hi(pi)JλiBi(.,vi)[Ai(hi(pi))λiωi(Ni(q1,q2,,qm)Gi(ui))]=(13i+113i7i35i21((60i27i)420i5139i2))pi.

    It also confirms that assumptions (4.2) and (4.14) are fulfilled, where βi=110i,ζi=111i,ηi=1, τi=12i,μi=19i, ϑi=15i,ξi=1,κi=130i,κij=130ij,αi=2i2, λi=1i,ωi=2i, δSi=14i,δUi=12i,δVi=16i and θi=55i211i1. Therefore, all the conditions of Theorems 4.1 and 4.2 are satisfied. Therefore, (0,0,,0) is a fixed point of the mapping ψ(.,.,,.)=(ϕ1(.),ϕ2(.),,ϕp(.)) defined by (4.5) as well as the fixed point of R=(Q1,Q2,,Qm). By Lemma 3.1, (0,0,,0) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of R=(Q1,Q2,,Qm).

    In the draft, we had discussed an extended system of fuzzy ordered variational inclusions and its corresponding extended system of fuzzy ordered resolvent equations with very suitable binary structures in an ordered Banach space. We had looked upon the existence of the solution of an extended system of fuzzy ordered variational inclusions and its corresponding extended system of fuzzy ordered resolvent equations. On the basis of fixed point formulation, we formulated iterative schemes for the said system of problems corresponding the resolvent equations involving special binary operations and the fixed point problem. Furthermore, we discussed the existence of common solution and discuss the convergence of the sequence of iterates generated by the algorithm for a considered problems. At the end, we discussed some consequences of our main results. Notice that the benefits of such systems on future research may work upon the forward-backward splitting method based on the inertial technique for solving ordered inclusion problems and also develop some better versions of the algorithms for solving the ordered inclusion problems in real ordered product Banach spaces with XOR and XNOR operations.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    Researchers would like to thank the Deanship of Scientific Research, Qassim University for funding publication of this project.

    The authors declare that they have no conflicts of interest.



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