Research article

Generalized common best proximity point results in fuzzy multiplicative metric spaces

  • Received: 19 July 2023 Revised: 22 August 2023 Accepted: 23 August 2023 Published: 31 August 2023
  • MSC : 26E05, 26E25, 47H10

  • In this manuscript, we prove the existence and uniqueness of a common best proximity point for a pair of non-self mappings satisfying the iterative mappings in a complete fuzzy multiplicative metric space. We consider the pair of non-self mappings X:PG and Z:PG and the mappings do not necessarily have a common fixed-point. In a complete fuzzy multiplicative metric space, if φ satisfy the condition φ(b,Zb,ς)=φ(P,G,ς)=φ(b,Xb,ς), then b is a common best proximity point. Further, we obtain the common best proximity point for the real valued functions L,M:(0,1]R by using a generalized fuzzy multiplicative metric space in the setting of (L,M)-iterative mappings. Furthermore, we utilize fuzzy multiplicative versions of the (L,M)-proximal contraction, (L,M)-interpolative Reich-Rus-Ciric type proximal contractions, (L,M)-Kannan type proximal contraction and (L,M)-interpolative Hardy-Rogers type proximal contraction to examine the common best proximity points in fuzzy multiplicative metric space. Moreover, we provide differential non-trivial examples to support our results.

    Citation: Umar Ishtiaq, Fahad Jahangeer, Doha A. Kattan, Manuel De la Sen. Generalized common best proximity point results in fuzzy multiplicative metric spaces[J]. AIMS Mathematics, 2023, 8(11): 25454-25476. doi: 10.3934/math.20231299

    Related Papers:

    [1] Müzeyyen Sangurlu Sezen . Interpolative best proximity point results via $ \mathbf{\gamma } $-contraction with applications. AIMS Mathematics, 2025, 10(1): 1350-1366. doi: 10.3934/math.2025062
    [2] Khalil Javed, Muhammad Nazam, Fahad Jahangeer, Muhammad Arshad, Manuel De La Sen . A new approach to generalized interpolative proximal contractions in non archimedean fuzzy metric spaces. AIMS Mathematics, 2023, 8(2): 2891-2909. doi: 10.3934/math.2023151
    [3] Basit Ali, Muzammil Ali, Azhar Hussain, Reny George, Talat Nazir . Best proximity points in non-Archimedean fuzzy metric spaces with application to domain of words. AIMS Mathematics, 2022, 7(9): 16590-16611. doi: 10.3934/math.2022909
    [4] Naeem Saleem, Hüseyin Işık, Sana Khaleeq, Choonkil Park . Interpolative Ćirić-Reich-Rus-type best proximity point results with applications. AIMS Mathematics, 2022, 7(6): 9731-9747. doi: 10.3934/math.2022542
    [5] Arshad Ali Khan, Basit Ali, Talat Nazir, Manuel de la Sen . Completeness of metric spaces and existence of best proximity points. AIMS Mathematics, 2022, 7(5): 7318-7336. doi: 10.3934/math.2022408
    [6] A. Sreelakshmi Unni, V. Pragadeeswarar, Manuel De la Sen . Common best proximity point theorems for proximally weak reciprocal continuous mappings. AIMS Mathematics, 2023, 8(12): 28176-28187. doi: 10.3934/math.20231442
    [7] Arshad Ali Khan, Basit Ali, Reny George . On semi best proximity points for multivalued mappings in quasi metric spaces. AIMS Mathematics, 2023, 8(10): 23835-23849. doi: 10.3934/math.20231215
    [8] Iqra Shamas, Saif Ur Rehman, Thabet Abdeljawad, Mariyam Sattar, Sami Ullah Khan, Nabil Mlaiki . Generalized contraction theorems approach to fuzzy differential equations in fuzzy metric spaces. AIMS Mathematics, 2022, 7(6): 11243-11275. doi: 10.3934/math.2022628
    [9] Moosa Gabeleh, Elif Uyanık Ekici, Manuel De La Sen . Noncyclic contractions and relatively nonexpansive mappings in strictly convex fuzzy metric spaces. AIMS Mathematics, 2022, 7(11): 20230-20246. doi: 10.3934/math.20221107
    [10] Mustafa Aslantas, Hakan Sahin, Raghad Jabbar Sabir Al-Okbi . Some best proximity point results on best orbitally complete quasi metric spaces. AIMS Mathematics, 2023, 8(4): 7967-7980. doi: 10.3934/math.2023401
  • In this manuscript, we prove the existence and uniqueness of a common best proximity point for a pair of non-self mappings satisfying the iterative mappings in a complete fuzzy multiplicative metric space. We consider the pair of non-self mappings X:PG and Z:PG and the mappings do not necessarily have a common fixed-point. In a complete fuzzy multiplicative metric space, if φ satisfy the condition φ(b,Zb,ς)=φ(P,G,ς)=φ(b,Xb,ς), then b is a common best proximity point. Further, we obtain the common best proximity point for the real valued functions L,M:(0,1]R by using a generalized fuzzy multiplicative metric space in the setting of (L,M)-iterative mappings. Furthermore, we utilize fuzzy multiplicative versions of the (L,M)-proximal contraction, (L,M)-interpolative Reich-Rus-Ciric type proximal contractions, (L,M)-Kannan type proximal contraction and (L,M)-interpolative Hardy-Rogers type proximal contraction to examine the common best proximity points in fuzzy multiplicative metric space. Moreover, we provide differential non-trivial examples to support our results.



    Fixed-point theory has been studied by several researchers since 1922 with the celebrated Banach fixed-point theorem. Fixed-point theory has several applications in non linear analysis and even in mathematics in general. Its results can be applied to an extensive set of distinct type of equations (integral, differential, metrical, etc.) in order to prove the existence and uniqueness of several classes of nonlinear problems. Numerous researchers have examined fixed-point theory and specifically established and publicized many spaces the area of fixed-point theory more interesting. It has expended the possibilities to obtaining a unique solution in the field of mathematics. Let a non self mapping X:PG where PG=Φ; then, a point mP is said to be the best proximity point (BPP) if φ(m,Xm)=φ(P,XG). First of all, Fan [1] established the best approximation theorem. The BPP theorem has an optimal solution, so it is more relevant than the best approximation theorem.

    In 1968, Karapinar [2] introduced a new kind of contraction for discontinuous mappings and proved several fixed-points results. Altun et al. [3] gave some BPP results for p-proximal contractions. Further, Altun and Tasdemir [4] proved some BPP results for interpolative proximal contractions. Shazad et al. [5] provided some common best proximity point (CBPP) results. Basha [6] developed CBPP results for a global minimal solution. Moreover, Basha [7] examined CBPPs for multi-objective functions. Deep and Betra [8] introduced some CBPP results for the proximal F-contraction. Mondal and Dey [9] proved some CBPP results in complete metric spaces (CMSs). Shayanpour and Nematizadeh [10] presented some CBPP results in complete fuzzy metric space.

    Hierro et al. [11] presented Proinov type fixed-point results in FMS. Then, Zhou et al. [12] modified the results of [11] and introduced new Proinov-type fixed-point results in FMS. Vetro and Salimi [13] established BPP theorems in non-Archimedean FMS. Paknazar [14] established some BPP theorms in FMS. In the second half of 17th century, sir Isaac Newton and Gottfried Wilhelm Leibniz established the most reliable theorems of differential and integral calculus. These two operations are the basic tools of calculus. It provided a new way for researchers. Hence, many authors have worked on it and proved several types of BPP theorems for it. Due to the development of new calculus by Grossman and Katz [15], known as multiplicative calculus, Bashirov et al. [16] established a new calculus, i.e., multiplicative calculus. Mongkolkeha and Sintunavarat [17] proved several proximity points for multiplicative proximal contraction mappings. Farheen et al.[18] introduced fuzzy multiplicative metric space (FMMS) and discussed the topological properties of FMMS. Every FMMS is Hausdorff. Uddin et al. [19] gave the concept of an controlled intuitionistic fuzzy metric-like space through the use of a continuous t-norm. Saleem et al. [20] presented a result on the graphical FMS, which is a type of FMS and proved a Banach fixed-point results in the graphical FMS. Ishtiaq et al. [21] established several fixed-point results for a generalized fuzzy rectangular metric like-space and rectangular b-metric-like spaces. There are many applications of fixed-point theory, such as establishing the well-posedness of partial differential equations and algorithms design for optimization and inverse problems. Based on the fixed-point theory, Shcheglov et al. [22] proved the uniqueness of an inverse problems for parabolic partial differential equations. Zhang and Hofmann [23] established fixed-point iterations in combination with preconditioning ideas, and they introduced new iterative regularization algorithms for inverse problems with non-negative constraints. Lin et al. [24] constructed a contraction mapping such that its fixed-point is just the gradient of a solution to the elliptic partial differential equations. By using the Schauder fixed-point theory, Baravdish et al. [25] proved the existence and uniqueness of a second order (in time) hyperbolic equation.

    Inspired by the work of [10], we introduce the fuzzy multiplicative (L,M)-proximal mapping, which is an extension of a mapping provided in [10]. We have divided this paper into three main parts. In the first part, we give some basic definitions and results that will help to understand our main results. In the second part, we prove theorems through the use of differential types of contractions, and examples are given to verify the results. In the third part, we give the conclusion of this paper.

    In this section, we revise some basic definition and results to introduce the main results.

    Definition 2.1. [6] The mappings X:PG and Z:PG are proximally commutative if they satisfy the condition

    [φ(,Xm)=φ(d,Zm)=φ(P,G)]Xd=Z,

    for all m,,d in P.

    Definition 2.2. [6] A mapping Z:PG proximally dominate to a mapping X:PG if there exists a non-negative number α<1 such that

    φ(1,Xm1)=φ(P,G)=φ(d1,Zm1)φ(2,Xm2)=φ(P,G)=φ(d2,Zm2)
    φ(1,2)αφ(d1,d2),

    for all 1,2,d1,d2,m1,m2P.

    Definition 2.3. [16] Suppose that CΦ. A mapping φ:C×CR is said to be a multiplicative metric space if it satisfies the following conditions:

    D1: φ(1,2)>1 for all 1,2C and φ(1,2)=1 if and only if 1=2;

    D2: φ(1,2)=φ(2,1);

    D3: φ(1,3)φ(1,2).φ(2,3) for all 1,2,3C.

    Definition 2.4. [18] A binary operation :G×GG (where G=[0,1]) is said to be a continuous t-norm (ctn) if it verifies the below axioms:

    (1) 12=12 and 1(23)=(12)3 for all 1,2,3G;

    (2) is continuous;

    (3) 11=1 for all 1G;

    (4) 1234 when 13 and 24, with 1,2,3,4G.

    Definition 2.5. [18] A triplet (C,φ,) is termed an FMMS if is a ctn, C is an arbitrary set, and φ is a fuzzy set on C×C×(1,) fulfilling the below conditions for all 1,2,3C and ς,ϖ>1:

    (i) φ(1,2,ς)>0;

    (ii) φ(1,2,ς)=1 if and only if 1=2;

    (iii) φ(1,2,ς)=φ(2,1,ς);

    (iv) φ(1,3,ς.ϖ)φ(1,2,ς)φ(2,3,ϖ);

    (v) φ(1,2,.):(1,)[0,1].

    Example 2.1. Suppose C=R+ and φ(1,2,ς)=ς+1ς+e12, with a ctn as st=st. Then, C is an FMMS.

    Definition 2.6. [18] A sequence {n} in an FMMS (C,φ,) is said to be convergent to a point C if and only if for each ε>0 and ζ(0,1), there exists a0(ε,ζ)N such that φ(,n,ς)>1ζ for all na0(ε,ζ) or limnφ(,n,ς)=1 for all ς>1; in this case we say that the sequence {n} is convergent.

    Definition 2.7. [18] A sequence {n} in an FMMS (C,φ,) is said to be Cauchy if and only if for each ε>0 and ζ(0,1), there exists a0(ε,ζ)N such that φ(n,n+p,ς)>1ζ for all na0(ε,ζ) and every pN or limnφ(n,n+p,ς)=1, for all ς>1 and pN.

    Also, an FMMS (C,φ,) is said to be complete if and only if every Cauchy sequence (CS) in C is convergent.

    Definition 2.8. [18] Let (C,φ,) be a FMMS and P,GC. We define the following sets.

    P0={1P:there exists 2G such that for all ς>1,φ(1,2,ς)=φ(P,G,ς)},G0={2G:there exists 1P such that for all ς>1,φ(1,2,ς)=φ(P,G,ς)},

    where,

    φ(P,G,ς)=sup{φ(1,2,ς),1P2G}.

    Definition 2.9. [18] Let (C,φ,) be a FMMS and P,GC if every sequence {n} of P verifying the condition that φ(,n,ς)φ(,P,ς) for some G and for all ς>1, has a convergent subsequence then, P is termed as approximately compact with respect to G.

    Definition 2.10. [18] Let (C,φ,) be a FMMS and P,GC. A mapping Z:PG is named a multiplicative contraction if there exists α[0,1), such that for all 1,2,3,4P

    φ(1,Z2,ς)=φ(P,G,ς),φ(3,Z4,ς)=φ(P,G,ς);

    hence,

    φ(1,3,ςα)φ(2,4,ς).

    Definition 2.11. [10] Let (C,φ,) be a FMS and P,GC. Let Z,X:PG be two mappings. We say that an element P is a CBPP of the mappings Z and X, if

    φ(,Z,ς)=φ(P,G,ς)=φ(,X,ς).

    Definition 2.12. [10] Let (C,φ,) be a FMS and P,GC. Let Z,X:PG be two mappings. We say that Z,X are proximally commutative if

    φ(1,Z,ς)=φ(P,G,ς)=φ(2,X,ς),ς>0;

    then, Z2=X1, where ,1,2P.

    Definition 2.13. [10] Let (C,φ,) be a FMS and P,GC. Let Z,X:PG be two mappings. We say that the mapping Z dominates X proximally if

    φ(1,Zh1,ς)=φ(P,G,ς)=φ(1,Xh2,ς),φ(2,Zh1,ς)=φ(P,G,ς)=φ(2,Xh2,ς),

    for all ς>0; then, there exists α(0,1) such that for all ς>0,

    φ(1,2,ας)φ(1,2,ς),

    where 1,2,1,2,h1,h2P.

    Definition 2.14. [12] We denote by ˊL the family of the pairs (L,M) of a functions L,M:(0,1]R satisfying the given bellow properties:

    (s1) L is non-decreasing;

    (s2) M()>L() for any (0,1);

    (s3) limTinfM()>limsTL() for any T(0,1);

    (s4) If (0,1) is such that M()L(1) then =1.

    In this section, we prove several CBPP results by utilizing generalized fuzzy multiplicative interpolative contractions, as well as prove non-trivial examples.

    Let (C,φ,) be an FMMS and P,GC. The mappings Z:PG and X:PG are called fuzzy multiplicative (L,M)-proximal, if

    φ(1,Xm1,ς)=φ(P,G,ς)=φ(d1,Zm1,ς),φ(2,Xm2,ς)=φ(P,G,ς)=φ(d2,Zm2,ς),L(φ(1,2,ς))M(φ(d1,d2,ς)), (3.1)

    holds for all 1,2,d1,d2,m1,m2P and ς>1.

    Example 3.1. Let (C,φ,) be an FMMS. Define φ(m,n,ς)=ς+1ς+emn with a ctn as st=st.

    Let P={0,2,4,6,8,10} and G={1,3,5,7,9,11}.

    Define the mappings X:PG and Z:PG, respectively as

    Z(0)=3,Z(2)=5,Z(4)=7,Z(6)=3,Z(8)=9,Z(10)=11,

    and

    X(0)=3,X(2)=1,X(4)=9,X(6)=7,X(8)=5,X(10)=11.

    Then, φ(P,G,ς)=ς+1ς+e, P0=P and G0=G. Then clearly X(P0)G0 and Z(P0)G0. Define the functions L,M:(0,1]R by

    L(l)={12ln2l if 0<l<11 if l=1}and M(l)={12lnl if 0<l<12 if l=1}.

    This shows that the mappings X and Z are fuzzy multiplicative (L,M)-proximal. However, consider 1=0, 2=8,d1=4,d2=6, m1=2,m2=4, and ς=2, which shows that X and Z are not proximal in FMMS. Hence,

    φ(0,X2,1)=φ(P,G,ς)=φ(4,Z2,1),φ(8,X4,1)=φ(P,G,ς)=φ(6,Z4,1).

    For α=12(0,1), it follows that

    φ(1,2,ςα)φ(d1,d2,ς),φ(0,8,212)φ(4,6,1),0.00080.3195,

    which is contradiction. Hence, the mappings X and Z are not fuzzy multiplicative proximal.

    Lemma 3.1. Let (C,φ,) be an FMMS and {n}C be a sequence verifying that limnφ(n,n+1,ς)=1. If the sequence {qn} is not a CS, then there are sub-sequences {nk}, {qk} and w>0 such that

    limkφ(nk+1,qk+1,ς)=w, (3.2)
    limkφ(nk,nqk,ς)=φ(nk+1,qk,ς)=φ(nk,qk+1,ς)=w. (3.3)

    Lemma 3.2. Let L:(0,1]R. Then the following conditions are equivalent:

    (i)infl>εL(l)> for every ε(0,1),

    (ii)limlεinfL(l)> for any ε(0,1),

    (iii)limnL(ln)= implies that limnln=1.

    Lemma 3.3. Assume that {n} is a sequence such that limnφ(n,n+1,ς)=1 and the mappings Z:PG and X:PG satisfy (3.1). If the functions L,M:(0,1]R fulfill the following condition:

    (i) limsuplϵ+M(l)>L(ϵ+) for any ϵ>0,

    then {n} is a CS.

    Proof. Suppose that a sequence {n} is not a CS; then, by Lemma (3.1), there exist two sub-sequences {nk}, {qk} of {n} and ϵ>0 such that (3.2) and (3.3) hold. By (3.2), we get that φ(nk+1,qk+1)>ϵ. Now, for nk,nk+1,qk,qk+1,mnk,mqk,mnk+1,mqk+1P, we have

    φ(nk+1,X(mnk+1),ς)=φ(P,G,ς)=φ(qk+1,X(mqk+1),ς),φ(nk,Z(mnk+1),ς)=φ(P,G,ς)=φ(qk,Z(mqk+1),ς).

    Thus, by (3.1), we have

    L(φ(nk+1,qk+1),ς)M(φ(nk,qk,ς)),

    for all k1. Let qk=φ(nk+1,qk+1,ς) and qk1=φ(nk,qk,ς); we have

    L(qk)M(qk1) for any k1. (3.4)

    By (3.2) and (3.3), we have that limkqk=ϵ and limknk=ϵ. By (3.4), we get that

    L(ϵ+)=limkL(qk)liminfkM(qk1)liminfckM(c). (3.5)

    This is a contradiction to condition (i). That is, {n} is a CS in P.

    Theorem 3.1. Let (C,φ,) be a complete FMMS (CFMMS) and P,GC such that G is approximately compact with respect to P. Also, assume that limkφ(1,2,ς)=1 and P0 and G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)proximal,

    (ii) X and Z proximally commutative,

    (iii) L is a non-decreasing function and liminflϵ+M(l)>L(ϵ+) for any ϵ>0,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0).

    Then, Z and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Suppose that m0P0. From (v), we have that X(P0)Z(P0); then, there exists an element m1P0 such that, Xm0=Zm1. Again, from (v), there exists an element m2P0 such that Xm1=Zm2. This process of existence of points in P0 implies the existence of a sequence {mn}P0 such that

    Xmn1=Zmn

    for all positive integral values of n, since X(P0)Z(P0).

    Since X(P0)G0, there exists an element n in P0 such that

    φ(n,Xmn,ς)=φ(P,G,ς), for all nN.

    Further, it follows from the choice of mn and n that

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Z(mn+1),ς),φ(n,Xmn,ς)=φ(P,G,ς)=φ(n1,Z(mn),ς).

    This implies that

    φ(n,Xmn,ς)=φ(P,G,ς)=φ(n1,Z(mn),ς). (3.6)

    Thus, if there exists some nN such that n=n1; then, by (3.6), the point n is a CBPP of the mappings X and Z. On the other hand, if n1n for all nN, then, by (3.6), we have

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Z(mn+1),ς),φ(n,X(mn),ς)=φ(P,G,ς)=φ(n1,Z(mn),ς).

    Thus, by (3.1), we have

    L(φ(n+1,n,ς))M(φ(n,n1,ς)),  (3.7)

    for all n1,n,n+1,mn+1,mnP. Let φ(n+1,n,ς)=qn; we have

    L(qn)M(qn1)>L(qn1).

    Since L is non-decreasing, by (3.7), we get that qn>qn1 for all nN. This shows that the sequence {qn} is positive and strictly non-decreasing. Hence, it converges to some element q1. We show that q=1. Suppose on the contrary that, q>1; then, by (3.7), we get the following:

    L(ε+)=limnL(qn)limnM(qn1)limnq+infM(l).

    This contradicts assumption (iii); hence, q=1 and limnφ(n,n+1,ς)=1. By assumption (iii) and Lemma (3.3), we deduce that {n} is a CS. From the completeness of (C,φ,); and by using (v), there exists an element in P such that limnφ(n,,ς)=1. Moreover,

    φ(,X(mn),ς)φ(,n,ς)φ(n,X(mn),ς).

    Also,

    φ(,Z(mn),ς)φ(,n,ς)φ(n,Z(mn),ς).

    Therefore, φ(,Z(mn),ς)φ(,G,ς) and also φ(,X(mn),ς)φ(,G,ς) as n. Because X and Z proximally commutative, Z and X are the same. Since G is approximately compact with respect to P, there exists sub-sequences {Z(mnk)} of {Z(mn)} and {X(mnk)} of {X(mn)} such that Z(mnk)dG and X(mnk)dG as k. Moreover, supposing that k in the below equations:

    φ(d,X(mnk),ς)=φ(P,G,ς),φ(d,Z(mnk),ς)=φ(P,G,ς), (3.8)

    we have

    φ(d,,ς)=φ(P,G,ς).

    The fact that P0 implies that X()X(P0); also, by using (v) there exists an element wP0. Similarly P0, so Z()Z(P0)G0 and there exists wP0 such that

    φ(,X(),ς)=φ(P,G,ς)=φ(,Z(),ς),φ(w,X(),ς)=φ(P,G,ς)=φ(w,Z(),ς). (3.9)

    Now, by (3.1), (3.8) and (3.9), we have

    L(φ(,w,ς))M(φ(,w,ς))<L(φ(,w,ς)).

    Since, L is a non-decreasing function, we have

    φ(,w,ςα)φ(,w,ς)>φ(,w,ςα).

    This implies that and w are the same. Finally, by (3.6), we have

    φ(,Z(),ς)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of mappings Z and X.

    Theorem 3.2. Let (C,φ,) be a CFMMS and P,GC such that G is approximately compact with respect to P. Also, assume that limkφ(1,2,ς)=1 and P0,G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)-proximal,

    (ii) X and Z are proximally commutative,

    (iii) L is non-decreasing and {L(ln)} and {M(ln)} are convergent sequences such that limnL(ln)=limnM(ln); then, limnln=1,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0).

    Then Z and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Proceeding as in the proof of Theorem (3.1), we get

    L(qn)M(qn1)<L(qn1). (3.10)

    By (3.10), we infer that {L(qn)} is a strictly non-decreasing sequence. We have two cases here, i.e., the sequence {L(qn)} is either bounded above or not. If {L(qn)} is not bounded above, then

    infwn>εL(qn)> for every ε>0,nN.

    It follows from Lemma (3.1), that qn1 as n. Secondly, if the sequence {L(qn)} is bounded above, then it is a convergent sequence. By (3.10), the sequence {M(qn)} is also convergent. Furthermore, both have the same limit. By condition (iii), we get that limnqn=1, or that limnφ(n,mn+1,ς)=1, for any sequence {n} in P. Now, following the proof of Theorem (3.1), we have

    φ(,Z(),ς)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of the mappings Z and X.

    Let (C,φ,) be an FMMS and P,GC. The mappings Z:PG and X:PG are called fuzzy (L,M)-interpolative Reich-Rus-Ciric type proximal contractions if

    φ(1,Xm1,ς)=φ(P,G,ς)=φ(d1,Zm1,ς),φ(2,Xm2,ς)=φ(P,G,ς)=φ(d2,Zm2,ς),L(φ(1,2,ς))M((φ(d1,d2,ς))α(φ(d1,1,ς))β(φ(d2,2,ς))1αβ), (3.11)

    holds for all 1,2,d1,d2,m1,m2P.

    Example 3.2. Let (C,φ,) be an FMMS. Define φ(m,n,ς)=ς+1ς+em1m2+n1n2 with a ctn as st=st.

    Let P={(0,n);nR} and G={(1,n);nR}.

    Define the mappings X:PG and Z:PG, respectively as

    X(0,n)=(1,n2),

    and

    Z(0,n)=(1,n3).

    Then, φ(P,G,ς)=φ(m,n,ς)=ς+1ς+e, P0=P and G0=G. Then, clearly X(P0)G0 and Z(P0)G0. Define the functions L,M:(0,1]R by

    L(l)={1lnl if 0<l<11 if l=1}and M(l)={1lnl2 if 0<l<12 if l=1}.

    This shows that the mappings X and Z are fuzzy multiplicative (L,M)-interpolative Reich-Rus-Ciric type proximal. However, Consider 1=(0,0), 2=(0,3),d1=(0,0), d2=(0,2),m1=(0,0), m2=(0,6),ς=2,α=12, and β=13, which shows that X and Z are not fuzzy multiplicative interpolative Reich-Rus-Ciric type proximal. Then

    φ(0,X2,1)=φ(P,G,ς)=φ(4,Z2,1),φ(8,X4,1)=φ(P,G,ς)=φ(6,Z4,1).

    For λ(0,12], it follows that

    φ(1,2,ςλ)(φ(d1,d2,ς))α(φ(d1,1,ς))β(φ(d2,2))1αβ,(φ((0,0),(0,3),20.2))(φ((0,0),(0,2),2))12(φ((0,0),(0,0),2))13(φ((0,2),(0,3),2))11213,0.11250.5627,0.11250.5627,

    which is a contradiction. Hence, X and Z are not fuzzy multiplicative interpolative Reich-Rus-Ciric type proximal.

    Theorem 3.3. Let (C,φ,) be a CFMMS and P,GC such that G is approximately compact with respect to P. Also, assume that limkφ(1,2,ς)=1 and P0, G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)-interpolative Riech-Rus-Ciric type proximal,

    (ii) X and Z are proximally commutative,

    (iii) L is a non-decreasing function and liminflϵ+M(l)>L(ϵ+) for any ϵ>0,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0).

    Then, Z and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Suppose that m0P0. From (v), we have that X(P0)Z(P0); then, there exists an element m1P0 such that Xm0=Zm1. Again by using (v) there exists an element m2P0 such that Xm1=Zm2. This process of establishing the existence of points in P0 implies that there is a sequence {mn}P0 such that

    Xmn1=Zmn

    for all positive integral values of n, because X(P0)Z(P0).

    Since X(P0)G0, there exists an element n in P0 such that

    φ(n,Xmn,ς)=φ(P,G,ς), for all nN.

    Further, it follows from the choice of mn and n that

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Z(mn+1),ς),φ(n,X(mn),ς)=φ(P,G,ς)=φ(n1,Z(mn),ς),

    if

    φ(n,Xmn,ς)=φ(P,G,ς)=φ(n1,Z(mn),ς). (3.12)

    Thus, if there exists some nN such that n=n1; then, by (3.12), the point n is a CBPP of the mappings X and Z. On the other hand, if n1n for all nN, then by (3.12), we get

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Z(mn+1),ς),φ(n,X(mn),ς)=φ(P,G,ς)=φ(n1,Z(mn),ς).

    Thus, by (3.11), we have

    L(φ(n+1,n,ς))M((φ(n,n1,ς))α(φ(n+1,n,ς))β(φ(n,n1,ς))1αβ),L(φ(n+1,n,ς)) M((φ(n+1,n,ς))β(φ(n,n1,ς))1α) (3.13)

    for all n1,n,n+1,mn,mn+1P. Since, M(l)>L(l) for all l>0, by (3.13), we have

    L(φ(n+1,n))>L((φ(n+1,n,ς))β(φ(n,n1,ς))1β).

    Thus, L is a non-decreasing function; we get

    φ(n+1,n,ς)>(φ(n+1,n,ς))β(φ(n,n1,ς))1β.

    This implies that

    (φ(n+1,n,ς))1β>(φ(n,n1,ς))1β.

    Let (φ(n+1,n,ς))=qn; we have

    L(qn)M((qn)β(qn1)1β)>L((qn)β(qn1)1β).

    This implies that qn>qn1 for all nN. This shows that the sequence {qn} is positive and strictly non-decreasing. Thus, it converges to some element q1. We show that q=1. Suppose that q>1. Then, by (3.13) we get the following

    L(ε+)=limnL(qn)limnM((qn)β(qn1)1β)limlq+infM(l).

    This contradicts the condition (iii); hence, q=1 and limnφ(n,n+1,ς)=1. By the condition (iii) and Lemma (3.3), we deduce that {n} is a CS. From the completeness of (C,φ,), and by using (v), there exists an element in P such that limnφ(n,,ς)=1. Furthermore, we have

    φ(,X(mn),ς)φ(,n,ς)φ(n,X(mn),ς)

    and

    φ(,Z(mn),ς)φ(,n,ς)φ(n,Z(mn),ς).

    Moreover, φ(,Z(mn),ς)φ(,G, ς) and also φ(,X(mn),ς)φ(,G, ς) as n. Because X and Z proximally commutative, Z and X are identical. Since G is approximately compact with respect to P, there exists sub-sequences {Z(mnk)} of {Z(mn)} and {X(mnk)} of {X(mn)} such that Z(mnk)dG and X(mnk)dG as k. Letting k in the following equations:

    φ(d,X(mnk),ς)=φ(P,G,ς),φ(d,Z(mnk),ς)=φ(P,G,ς), (3.14)

    we get

    φ(d,,ς)=φ(P,G,ς).

    The fact that P0 implies that X()X(P0), and by using (v), there exists an element wP0. Similarly, P0, so Z()Z(P0)G0 and there exists wP0 such that

    φ(,X(),ς)=φ(w,X(),ς)=φ(P,G,ς),φ(,Z(),ς)=φ(w,Z(),ς)=φ(P,G,ς). (3.15)

    Now, from (3.14) and (3.15), and by (3.11), we have

    L(φ(,w,ς))M((φ(,w,ς))α(φ(,w,ς))β(φ(,w,ς))1αβ)M(φ(,w,ς))>φ(,w,ς).

    Since L is a non-decreasing function, we have

    φ(,w,ςα)φ(,w,ς)>φ(,w,ςα).

    This\ implies that and w are equal. Finally, by (3.12), we have

    φ(,Z(),ς)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of mappings Z and X.

    Theorem 3.4. Let (C,φ,) be a CFMMS and P,GC such that G is approximately compact with respect to P. Also, assume that limkφ(1,2,ς)=1 and P0, G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)interpolative Riech-Rus-Ciric type proximal,

    (ii) X and Z proximally commutative,

    (iii) L is non-decreasing and {L(ln)} and {M(ln)} are convergent sequences such that limnL(ln)=limnM(ln); then, limnln=1,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0).

    Then, Z and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Proceeding as in the proof of Theorem (3.3), we have

    L(qn)M((qn1)1β(qn)β)>L((qn1)1β(qn)β). (3.16)

    By (3.16), we infer that {L(qn)} is a strictly non-decreasing sequence. We have two cases here, i.e., either the sequence {L(qn)} is bounded above or not. If {L(qn)} is not bounded, then

    infwn>εL(qn)> for every ε>0,nN.

    It follows from Lemma (3.1), that qn1 as n. Secondly, if the sequence {L(qn)} is bounded above, then it is a convergent sequence. By (3.16), the sequence {M(qn)} is also convergent. Furthermore, both have the same limit. By condition (iii), we get that limnqn=1, or that limnφ(n,mn+1,ς)=1 for any sequence {n} in P. Now, following the proof of Theorem (3.3), we obtain

    φ(,Z(),ς)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of mappings Z and X.

    Let (C,φ,) be an FMMS and P,GC. The mappings Z:PG and X:PG are called fuzzy multiplicative (L,M)-Kannan type proximal contractions if

    φ(1,Xm1,ς)=φ(P,G,ς)=φ(d1,Zm1,ς),φ(2,Xm2,ς)=φ(P,G,ς)=φ(d2,Zm2,ς),L(φ(1,2))M((φ(d1,1))α(φ(d2,2))1α), (3.17)

    holds for all 1,2,d1,d2,m1,m2P.

    Example 3.3. Let (C,φ,) be an FMMS. Define φ(m,n,ς)=ς+1ς+em1m2+n1n2 with the ctn as st=st.

    Let P={(0,n);nR} and G={(1,n);nR}.

    Define the mappings X:PG and Z:PG, respectively as

    X(0,n)=(1,n2),

    and

    Z(0,n)=(1,n3).

    Then, φ(P,G,ς)=φ(m,n,ς)=ς+1ς+e, P0=P and G0=G. Then, clearly X(P0)G0 and Z(P0)G0. Define the functions L,M:(0,1]R by

    L(l)={12ln2l if 0<l<11 if l=1}and M(l)={12lnl if 0<l<12 if l=1}.

    This shows that the mappings X and Z are fuzzy (L,M)interpolative Kannan type proximal. However, if we consider 1=(0,0), 2=(0,3),d1=(0,0),d2=(0,2),m1=(0,0),m2=(0,6),ς=2, and α=12, then X and Z are not fuzzy multiplicative interpolative Kannan type proximal. We know that

    φ((0,0),X(0,0),2)=φ(P,G,ς)=φ((0,0),Z(0,6),2),φ((0,3),X(0,6),2)=φ(P,G,ς)=φ((0,2),Z(0,6),2).

    For λ=0.2, it follows that

    φ(1,2,ςλ)((φ(d1,1,ς))α(φ(d2,2,ς))1α),φ((0,0),(0,3),2λ)((φ((0,0),(0,0),2))12(φ((0,2),(0,3),2))12),0.10120.7974,0.10120.7974,

    which is contradiction. Hence, X and Z are not fuzzy multiplicative interpolative Kannan type proximal.

    Theorem 3.5. Let (C,φ,) be a CFMMS and P,GC such that G is approximately compact with respect to P. Also, assume that limkφ(1,2,ς)=1 and P0, G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)-interpolative Kannan type proximal contraction,

    (ii) X and Z are proximally commutative,

    (iii) L is a non-decreasing function and liminflϵ+M(l)>L(ϵ+) for any ϵ>0,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0).

    Then, Z\ and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Suppose that m0P0. From (v), we have that X(P0)Z(P0); then, there exists an element m1P0 such that Xm0=Zm1. Again, by using (v), there exists an element m2P0 such that Xm1=Zm2. This process of establishing the existence of points in P0 gives a sequence {mn}P0 such that

    Xmn1=Zmn

    for all positive intergral values of n, because X(P0)Z(P0).

    Since X(P0)G0, there exists an element n in P0 such that

    φ(n,Xmn,ς)=φ(P,G,ς), for all nN.

    Further, it follows from the choice of mn and n that

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Z(mn+1),ς),φ(n,Xmn,ς)=φ(P,G,ς)=φ(n1,Z(mn),ς),

    if

    φ(n,Xmn,ς)=φ(P,G,ς)=φ(n1,Z(mn),ς). (3.18)

    Notice that, if there exists some nN such that n=n1, then by (3.18), the point n is a CBPP of the mappings X and Z. On the other hand, if n1n for all nN, then, by (3.18), we get

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Z(mn),ς),φ(n,X(mn),ς)=φ(P,G,ς)=φ(n1,Z(mn1),ς).

    Thus, by (3.17), we have

    L(φ(n+1,n,ς))M((φ(n+1,n,ς))α(φ(n,n1,ς))1α) (3.19)

    for all n1,n,n+1,mn,mn+1P. Since, M(l)>L(l) for all l>0, by (3.19), we have

    L(φ(n+1,n,ς))>L((φ(n+1,n,ς))α(φ(n,n1,ς))1α).

    Thus, L is a non-decreasing function; we get

    φ(n+1,n,λς)>(φ(n+1,n,ς))α(φ(n,n1,ς))1α.

    This implies that

    (φ(n+1,n,λς))1α>(φ(n,n1,ς))1α.

    Let φ(n+1,n,ς)=qn; we have

    L(qn)M((qn)α(qn1)1α)>L((qn)α(qn1)1α).

    This implies that qn>qn1 for all nN. This shows that the sequence {qn} is positive and strictly non-decreasing. Hence, it converges to some element q1. We show that q=1. Let q>1, by (3.19); we get the following:

    L(ε+)=limnL(qn)limnM((qn)α(qn1)1α)limlq+infM(l).

    This contradicts assumption (iii). Hence, q=1 and limnφ(n,n+1,ς)=1. By the condition (iii) and Lemma (3.3), we deduce that {n} is a CS. Therefore (C,φ,) is a CFMMS, PC and X(P0)G0; there exists an element in P such that limnφ(n,,ς)=1. Moreover,

    φ(,X(mn),ςα)φ(,n,ς)φ(n,X(mn),ς)

    and

    φ(,Z(mn),ςα)φ(,n,ς)φ(n,Z(mn),ς).

    Therefore, φ(,Z(mn),ς)φ(,G, ς) and also φ(,X(mn),ς)φ(,G, ς) as n. Because X and Z are proximally commutative, Z and X are equal. Since G is approximately compact with respect to P, there exists sub-sequences {Z(mnk)} of {Z(mn)} and {X(mnk)} of {X(mn)} such that Z(mnk)dG and X(mnk)dG as k. Moreover, supposing that k in the following equations:

    φ(d,X(mnk),ς)=φ(P,G,ς),φ(d,Z(mnk),ς)=φ(P,G,ς), (3.20)

    we have

    φ(d,,ς)=φ(P,G,ς).

    The fact that P0 implies that X()X(P0), and by using (v), there exists an element wP0. Similarly, P0, so Z()Z(P0)G0 and there exists wP0 such that

    φ(,X(),ς)=φ(w,X(),ς)=φ(P,G,ς),φ(,Z(),ς)=φ(w,Z(),ς)=φ(P,G,ς). (3.21)

    Now, from (3.20) and (3.21), and by (3.17), we have

    L(φ(,w),ς)M((φ(,w,ς))α(φ(,w,ς))1α)M(φ(,w,ς))>φ(,w,ς).

    Since L is a non-decreasing function, we have

    φ(,w,ςα)φ(,w,ς)>φ(,w,ςα).

    This\ implies that and w are equal. Finally, by (3.18), we have

    φ(,Z(),ς)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of mappings Z and X.

    Theorem 3.6. Let (C,φ,) be a CFMMS and P,GC such that G is approximately compact with respect to P. Suppose that limkφ(1,2,ς)=1 and P0, G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)-interpolative Kannan type proximal,

    (ii) X and Z are proximally commutative,

    (iii) L is non-decreasing and {L(ln)} and {M(ln)} are convergent sequences such that limnL(ln)=limnM(ln); then, limnln=1,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0).

    Then, Z and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Proceeding as in the proof of Theorem (3.5), we get

    L(qn)M((qn1)1β(qn)β)>L((qn1)1β(qn)β). (3.22)

    By (3.16), we infer that {L(qn)} is a strictly non-decreasing sequence. We have two cases here, i.e., either the sequence {L(qn)} is bounded above or not. If {L(qn)} is not bounded above, then

    infwn>εL(qn)> for every ε>0,nN.

    It follows from Lemma (3.1), that qn1 as n. Secondly, if the sequence {L(qn)} is bounded above, then it is a convergent sequence. By (3.16), the sequence {M(qn)} is also convergent. Furthermore, both have the same limit. By condition (iii), we get that limnqn=1, or that limnφ(n,mn+1,ς)=1, for any sequence {n} in P. Now, following the proof of Theorem (3.5), we have

    φ(,Z(),ς)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of the mapping Z and X.

    Let (C,φ,) be an FMMS and P,GC. The mappings Z:PG and X:PG are called fuzzy multiplicative (L,M)-interpolative Hardy-Rogers type proximal contractions if

    φ(1,Xm1,ς)=φ(P,G,ς)=φ(d1,Zm1,ς),φ(2,Xm2,ς)=φ(P,G,ς)=φ(d2,Zm2,ς),L(φ(1,2,ς))M((φ(d1,d2,ς))α(φ(d1,1,ς))β(φ(d2,2,ς))γ((φ(d1,2,ς))δφ(d2,1,ς)))1αβγ), (3.23)

    holds for all 1,2,d1,d2,m1,m2P.

    Example 3.4. Let (C,φ,) be an FMMS. Define φ(m,n,ς)=ς+1ς+em1m2+n1n2 with a ctn as st=st.

    Let P={(0,u);0u<} and G={(1,u);0u<}.

    Define the mappings X:PG and Z:PG, respectively as

    X(0,u)=(1,u1),

    and

    Z(0,u)=(1,u+1).

    Then, φ(P,G,ς)=ς+1ς+e, P0=P and G0=G. Then, clearly X(P0)G0 and Z(P0)G0. Define the functions L,M:(0,1]R by

    L(l)={1lnl if 0<l<11 if l=1}and M(l)={1lnl2 if 0<l<12 if l=1}.

    This shows that the mappings X and Z are fuzzy multiplicative (L,M)-interpolative Hardy-Rogers type proximal. However, consider 1=(0,4), 2=(0,2),d1=(0,6),d2=(0,4), m1=(0,5),m2=(0,3),ς=2,α=0.01,β=0.02,γ=0.03, and δ=0.04, which shows that X and Z are not fuzzy multiplicative interpolative Hardy-Rogers type proximal. Hence,

    φ((0,4),X(0,5),2)=φ(P,G,ς)=φ((0,6),Z(0,5),2),φ((0,2),X(0,3),2)=φ(P,G,ς)=φ((0,4),Z(0,3),2).

    For λ=0.2, it follows that

    (φ(1,2,ςλ))(φ(d1,d2,ς))α(φ(d1,1,ς))β(φ(d2,2,ς))γ((φ(d1,2,ς))δφ(d2,1,ς)))1αβγ,φ((0,4),(0,2),2λ)φ((0,4),(0,6),2)0.01(φ((0,4),(0,2),2))0.02(φ((0,6),(0,4),2))0.03,(φ((0,6),(0,2),2))0.04(φ((0,4),(0,4),2))0.9,0.04310.8286,

    which is a contradiction. Hence, the mappings X and Z are not\ fuzzy multiplicative interpolative Hardy-Rogers type proximal.

    Theorem 3.7. Let (C,φ,) be a CFMMS and P,GC such that G is approximately compact with respect to P. Also, assume that limkφ(1,2,ς)=1 and P0, G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)-interpolative Hardy-Rogers type proximal,

    (ii) X and Z are proximally commutative,

    (iii) L is a non-decreasing function and limsuplϵ+M(l)<L(ϵ+) for any ϵ>0,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0). Then, Z and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Suppose that m0P0. From (v), we have that X(P0)Z(P0); then, there exists an element m1P0 such that Xm0=Zm1. Again, by using (v), there exists an element m2P0 such that Xm1=Zm2. This process of establishing the existence of points in P0 implies that there is a sequence {mn}P0 such that

    Xmn1=Zmn

    for all positive integral values of n, because X(P0)Z(P0).

    From X(P0)G0, there exists an element n in P0 such that

    φ(n,Xmn,ς)=φ(P,G,ς) for all nN.

    Further, it follows from the choice of mn and n that

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Xmn,ς),φ(n,Z(mn+1),ς)=φ(P,G,ς)=φ(n1,Z(mn),ς)

    if

    φ(n,Xmn,ς)=φ(P,G)=φ(n1,Z(mn),ς). (3.24)

    Notice that, if there exists some nN such that n=n1, then by (3.24), the point n is a CBPP of the mappings X and Z. On the other hand, if n1n for all nN, then, by (3.24), we obtain

    φ(n+1,X(mn+1),ς)=φ(P,G,ς)=φ(n,Z(mn),ς),φ(n,X(mn),ς)=φ(P,G,ς)=φ(n1,Z(mn1),ς).

    Thus, by (3.23), we have

    L(φ(n+1,n,ς))M((φ(n,n1,ς))α(φ(n,n+1,ς))β(φ(n1,n,ς))γ((φ(n,n,ς))δ(φ(n1,n+1,ς)))1αβγδ)M((φ(n,n1,ς))α(φ(n,n+1,ς))β(φ(n1,n,ς))γ((φ(n1,n+1,ς))1αβγδ), (3.25)

    for all n1,n,n+1,mn,mn+1P. Since, M(l)>L(l) for all l>0, by (3.25), we have

    L(φ(n+1,n,ς))>L((φ(n,n1,ς))α(φ(n+1,n,ς))β(φ(n+1,n,ς))γ((φ(n1,n+1,ς))1αβγδ).

    Since L is a non-decreasing function, we obtain

    φ(n+1,n,ς))>(φ(n,n1,ς))α(φ(n+1,n,ς))β(φ(n+1,n,ς))γ((φ(n1,n+1,ς))1αβγδ,φ(n+1,n,ς)>(φ(n,n1,ς))α(φ(n+1,n,ς))β(φ(n+1,n,ς))γ((φ(n1,n,ς).φ(n,n+1,ς))1αβγδ,φ(n+1,n,ς)>(φ(n1,n,ς))1βγδ(φ(n1,n,ς))1αδ.

    This implies that

    φ(n+1,n,ςα)>(φ(n1,n,ς))1βγδ(φ(n1,n,ς))1αδ.

    Let (φ(n+1,n,ς))=qn; we have

    L(qn)M((qn1)1βγδ(qn)1αδ),>L(((qn1)1βγδ(qn)1αδ)).

    Assume that qn>qn1 for some n1. Since L is non-decreasing, by (3.25), we get that (qn)>(((qn1)1βγδ(qn)1αδ)). This is not possible. Hence, we obtain that qn>qn1 for all n1. Thus, it converges to some element q1. We show that q=1. Let q>1, so that, by (3.25), we get the following:

    L(ε+)=limnL(qn)limnM(((qn1)1βγδ(qn)1αδ))limlq+infM(l).

    This contradicts condition (iii); hence, q=1 and limnφ(n,n+1,ς)=1. By the condition (iii) and Lemma (3.3), we deduce that {n} is a CS. Therefore (C,φ,) is a CFMMS, PC and X(P0)G0; then, there exists an element in P such that limnφ(n,,ς)=1. Moreover,

    φ(,X(mn),ς)φ(,n,ς)φ(n,X(mn),ς).

    Also,

    φ(,Z(mn),ς)φ(,n,ς)φ(n,Z(mn),ς).

    Therefore, φ(,Z(mn),ς)φ(,G,ς) and φ(,X(mn),ς)φ(,G,ς) as n. Because X and Z are proximally commutative, Z and X are equal. Since G is approximately compact with respect to P, there exists sub-sequences {Z(mnk)} of {Z(mn)} and {X(mnk)} of {X(mn)} such that Z(mnk)dG and X(mnk)dG as k. Moreover, supposing that k in the following equations:

    φ(d,X(mnk),ς)=φ(P,G,ς),φ(d,Z(mnk),ς)=φ(P,G,ς), (3.26)

    we have

    φ(d,,ς)=φ(P,G,ς).

    Since, P0, X()X(P0)G0 and there exists wP0. Similarly, P0, so Z()Z(P0)G0 and there exists wP0 such that

    φ(,X(),ς)=φ(P,G,ς)=φ(,Z(),ς),φ(w,X(),ς)=φ(P,G,ς)=φ(w,Z(),ς). (3.27)

    Now, from (3.26) and (3.27), and by (3.23), we have

    L(φ(,w,ς))M((φ(,w,ς))α(φ(,w,ς))β)M(φ(,w,ς))>φ(,w,ς).

    Since L is a non-decreasing function, we have

    φ(,w,ςα)φ(,w,ς)>φ(,w,ςα).

    This\ implies that and w are the same. Hence, by (3.24), we have

    φ(,Z(),ςα)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of mappings X and Z.

    Theorem 3.8. Let (C,φ,) be a CFMMS and P,GC such that G is approximately compact with respect to P. Also, assume that limkφ(1,2,ς)=1 and P0, G0Φ. Let X:PG and Z:PG satisfy the following conditions:

    (i) Z dominates X and is fuzzy multiplicative (L,M)-interpolative Hardy-Rogers type proximal,

    (ii) X and Z are proximally commutative,

    (iii) L is non-decreasing and {L(ln)} and {M(ln)} are convergent sequences such that limnL(ln)=limnM(ln); then, limnln=1,

    (iv) X and Z are continuous,

    (v) X(P0)G0 and X(P0)Z(P0).

    Then, Z and X have a unique element mP such that

    φ(m,Zm,ς)=φ(P,G,ς),φ(m,Xm,ς)=φ(P,G,ς).

    Proof. Proceeding as in the proof of Theorem (3.7), we have

    L(qn)M(((qn1)1βγδ(qn)1αδ))>L(((qn1)1βγδ(qn)1αδ)). (3.28)

    By (3.28), we infer that {L(qn)} is a strictly non-decreasing sequence. We have two cases here, i.e., either the sequence {L(qn)} is bounded above or not. If {L(qn)} is not bounded above, then

    infwn>εL(qn)> for every ε>0,nN.

    It follows from Lemma (3.1), that qn1 as n. Secondly, if the sequence {L(qn)} is bounded above, then it is a convergent sequence. By (3.28), the sequence {M(qn)} is convergent. Furthermore, both have the same limit. By condition (iii), we get that limnqn=1, or that limnφ(n,mn+1,ς)=1, for any sequence {n} in P. Now, following the proof of Theorem (3.7), we obtain

    φ(,Z(),ς)=φ(P,G,ς)=φ(,X(),ς).

    This shows that the point is a CBPP of the pair of mappings Z and X.

    In this manuscript, we introduced generalized iterative contractive mappings for a pair of non-self-mappings X:PG and Z:PG. We proved some CBPP theorems for generalized iterative mappings in a CFMMS. Further, we proved fuzzy multiplicative versions of the (L,M)-proximal contraction, (L,M)-interpolative Reich-Rus-Ciric type proximal contraction, (L,M)-interpolative Kannan type proximal contraction, and (L,M)-interpolative Hardy-Rogers type proximal contraction to examine the CBPP in the setting of FMMS. Furthermore, we provided several non-trivial examples to show the validity of our main results. The contraction conditions (3.1), (3.11), (3.17) and (3.23) can be used to demonstrate the existence of solutions to the models of linear and nonlinear dynamic systems, depending on their nature (linear or nonlinear). This paper's study expands on the worthwhile research that was previously published in [4,5,8,9,10].

    The authors declare that they have not used artificial intelligence (AI) tools in the creation of this article.

    This work was supported by the Basque Government, grant number IT1555-22.

    The authors declare that they do not have any conflict of interests. All authors have read and approved the final manuscript.



    [1] K. Fan, Extensions of two fixed-point theorems of F. E. Browder, Math. Z., 112 (1969), 234–240. https://doi.org/10.1007/BF01110225 doi: 10.1007/BF01110225
    [2] E. Karapinar, Revisiting the Kannan type contractions via interpolation, Adv. Theor. Nonlinear Anal. Appl., 2 (2018), 85–87. https://doi.org/10.31197/atnaa.431135 doi: 10.31197/atnaa.431135
    [3] I. Altun, M. Aslantas, H. Sahin, Best proximity point results for p-proximal contractions, Acta Math. Hungar., 162 (2020), 393–402. https://doi.org/10.1007/s10474-020-01036-3 doi: 10.1007/s10474-020-01036-3
    [4] I. Altun, A. Taşdemir, On best proximity points of interpolative proximal contractions, Quaest. Math., 44 (2021), 1233–1241. https://doi.org/10.2989/16073606.2020.1785576 doi: 10.2989/16073606.2020.1785576
    [5] N. Shahzad, S. S. Basha, R. Jeyaraj, Common best proximity points: global optimal solutions, J. Optim. Theory Appl., 148 (2011), 69–78. https://doi.org/10.1007/s10957-010-9745-7 doi: 10.1007/s10957-010-9745-7
    [6] S. S. Basha, Common best proximity points: Global minimal solutions, Top, 21 (2013), 182–188. https://doi.org/10.1007/s11750-011-0171-2 doi: 10.1007/s11750-011-0171-2
    [7] S. S. Basha, Common best proximity points: Global minimization of multi-objective functions, J. Glob. Optim., 54 (2012), 367–373. https://doi.org/10.1007/s10898-011-9760-8 doi: 10.1007/s10898-011-9760-8
    [8] A. Deep, R. Batra, Common best proximity point theorems under proximal F-weak dominance in complete metric spaces, J. Anal., 2023. https://doi.org/10.1007/s41478-023-00570-x
    [9] S. Mondal, L. K. Dey, Some common best proximity point theorems in a complete metric space, Afr. Mat., 28 (2017), 85–97. https://doi.org/10.1007/s13370-016-0432-1 doi: 10.1007/s13370-016-0432-1
    [10] H. Shayanpour, A. Nematizadeh, Some results on common best proximity point in fuzzy metric, Bol. Soc. Parana. Mat., 35 (2017), 177–194. https://doi.org/10.5269/bspm.v35i2.29466 doi: 10.5269/bspm.v35i2.29466
    [11] A. F. Roldán López de Hierro, A. Fulga, E. Karapınar, N. Shahzad, Proinov-type fixed-point results in non-Archimedean fuzzy metric spaces, Mathematics, 9 (2021), 1594. https://doi.org/10.3390/math9141594 doi: 10.3390/math9141594
    [12] M. Zhou, N. Saleem, X. Liu, A. Fulga, A. F. Roldán Ló pez de Hierro, A new approach to Proinov-type fixed-point results in non-Archimedean fuzzy metric spaces, Mathematics, 9 (2021), 3001. https://doi.org/10.3390/math9233001 doi: 10.3390/math9233001
    [13] C. Vetro, P. Salimi, Best proximity point results in non-Archimedean fuzzy metric spaces, Fuzzy Inform. Eng., 5 (2013), 417–429. https://doi.org/10.1007/s12543-013-0155-z doi: 10.1007/s12543-013-0155-z
    [14] M. Paknazar, Non-Archimedean fuzzy metric spaces and best proximity point theorems, Sahand Commun. Math. A., 9 (2018), 85–112. https://doi.org/10.22130/scma.2018.24627 doi: 10.22130/scma.2018.24627
    [15] M. Grossman, R. Katz, Non-Newtonian Calculus, Lee Press, 1972.
    [16] A. E. Bashirov, E. M. Kurpınar, A. Özyapıcı, Multiplicative calculus and its applications, J. Math. Anal. Appl., 337 (2008), 36–48. https://doi.org/10.1016/j.jmaa.2007.03.081 doi: 10.1016/j.jmaa.2007.03.081
    [17] C. Mongkolkeha, W. Sintunavarat, Best proximity points for multiplicative proximal contraction mapping on multiplicative metric spaces, J. Nonlinear Sci. Appl., 8 (2015), 1134–1140. http://dx.doi.org/10.22436/jnsa.008.06.22 doi: 10.22436/jnsa.008.06.22
    [18] M. Farheen, T. Kamran, A. Hussain, Best proximity point theorems for single and multivalued mappings in fuzzy multiplicative metric space, J. Funct. Space., 2021 (2021), 1373945. https://doi.org/10.1155/2021/1373945 doi: 10.1155/2021/1373945
    [19] F. Uddin, U. Ishtiaq, K. Javed, S. S. Aiadi, M. Arshad, N. Souayah, et al., A new extension to the intuitionistic fuzzy metric-like spaces, Symmetry, 14 (2022), 1400. https://doi.org/10.3390/sym14071400 doi: 10.3390/sym14071400
    [20] N. Saleem, U. Ishtiaq, L. Guran, F. M. Bota, On graphical fuzzy metric spaces with application to fractional differential equations, Fractal Fract., 6 (2022), 238. https://doi.org/10.3390/fractalfract6050238 doi: 10.3390/fractalfract6050238
    [21] U. Ishtiaq, A. Hussain, H. Al-Sulami, Certain new aspects in fuzzy fixed-point theory, AIMS Math., 7 (2022), 8558–8573. https://doi.org/10.3934/math.2022477 doi: 10.3934/math.2022477
    [22] A. Shcheglov, J. Li, C. Wang, A. Ilin, Y. Zhang, Reconstructing the absorption function in a quasi-linear sorption dynamic model via an iterative regularizing algorithm, Adv. Appl. Math. Mech., 2023. https://doi.org/10.4208/aamm.OA-2023-0020
    [23] Y. Zhang, B. Hofmann, Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems, Inverse Probl. Imag., 15 (2021), 229–256. https://doi.org/10.3934/ipi.2020062 doi: 10.3934/ipi.2020062
    [24] G. Lin, X. Cheng, Y. Zhang, A parametric level set based collage method for an inverse problem in elliptic partial differential equations, J. Comput. Appl. Math., 340 (2018), 101–121. https://doi.org/10.1016/j.cam.2018.02.008 doi: 10.1016/j.cam.2018.02.008
    [25] G. Baravdish, O. Svensson, M. Gulliksson, Y. Zhang, Damped second order flow applied to image denoising, IMA J. Appl. Math., 84 (2019), 1082–1111. https://doi.org/10.1093/imamat/hxz027 doi: 10.1093/imamat/hxz027
  • This article has been cited by:

    1. Umar Ishtiaq, Fahad Jahangeer, Mubariz Garayev, Ioan-Lucian Popa, Existence and Uniqueness Results for Fuzzy Bipolar Metric Spaces, 2025, 17, 2073-8994, 180, 10.3390/sym17020180
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1624) PDF downloads(120) Cited by(1)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog