Abstract.
Within graphical fuzzy metric spaces, the present study addresses a formulation for fuzzy graphical -contractions as a novel family of contractions. Various fixed point results pertaining to the proposed contractions are established, supported by illustrative examples. Additionally, a discussion of the obtained findings extend and refine existing fixed point theorems is provided. To demonstrate their applicability, the study includes an application on establishing solution solvability for fractional-order nonlinear differential equations.
keywords:
fixed point; graphical fuzzy metric space; fuzzy graphical -contraction; nonlinear fractional differential equation; directed graph.MSC:
47H10; 54H25; 26A33.1. Introduction
Fixed point analysis constitutes a pivotal component within nonlinear functional analysis. It serves as a powerful method in analysing challenging problems across multiple mathematical and scientific disciplines, such as computer science, engineering, chemistry, economics, and medical sciences [55]. Among the classical results, the Banach contraction principle [4] remains a subject of active research, with expansions attained through different approaches and investigations in various abstract metric structures.
Zadeh’s introduction of fuzzy set theory [56] in 1965 is recognized as a major advancement in modern mathematics, as it assigns membership values to all elements of a set. Motivated by this concept, Kramosil and Michalek [26] proposed fuzzy metric spaces, subsequently modified by George and Veeramani [13] to ensure that the induced topological spaces are Hausdorff. Similar to their metric counterparts, researchers have extended this framework further, for instance, fuzzy cone metric spaces [33], complex-valued fuzzy metric spaces [43, 44], intuitionistic fuzzy metric spaces [34], complex-valued intuitionistic fuzzy metric spaces [52], fuzzy bipolar metric spaces [5], and neutrosophic metric spaces [25].
Grabiec [16] pioneered fixed points exploration within the fuzzy metric framework in 1988 by extending Banach contraction principle to complete fuzzy metric settings. Following this, Gregori and Sapena [20] proposed fuzzy contractive mappings in conjunction with related fixed point investigations. Following this line of research, numerous studies have explored generalized variants of contractive mappings, followed by an analysis of their fixed points. Notable studies include Mihet [29], who introduced fuzzy -contractive mappings; Wardowski [50], who presented fuzzy -contractive mappings; Khojasteh et al. [24], who formulated simulation functions; Shukla et al. [40], who studied fuzzy -contractive mappings; and Moussaoui et al. [31], who investigated simulative fuzzy -contractive mappings. Additional studies on fuzzy contractions and their applications in fuzzy metric spaces can be found in [8, 15, 32].
Meanwhile, graph theory has been widely applied across disciplines such as architecture, chemistry, genetics, and computer science [58], as it provides a structural framework for illustrating objects and their associations via vertices and edges. In recent years, researchers have attempted the approach of integrating graph theory into advancement in fixed point theory. Jachymski [23] formulated Banach contraction on metric spaces possessing a graph structure in place of an order structure. Within the same abstract setting, Dinevari and Frigon [10] investigated fixed points under set-valued contractions. In 2017, Shukla et al. [41] defined graphical metric spaces, which extend classical metric spaces by weakening the triangle inequality for points lying on some paths of the defined space’s graph. They further established fixed point findings and showcased relevant applications. Such a structure was subsequently generalized to graphical -metric spaces by Chuensupantharat et al. [7].
In a contemporary study, Saleem et al. [37] devised a fuzzified variant for graphical metric structures, called graphical fuzzy metric spaces, and established several fixed point outcomes. Being an innovative emerging research direction, Shukla et al. [42] addressed certain limitations in the work of [37] resulting from the complex nature of integrating fuzzy and graphical structures. In response, they presented some new fixed point results and explored some topological characteristics of graphical fuzzy metric spaces.
Inspired by [29], [37] and [42], this paper introduces a distinct family of contractions, namely fuzzy graphical -contractive mappings, and investigates corresponding fixed point insights under the non-Archimedean graphical fuzzy metric spaces. Instances, along with application to fractional calculus are included to illustrate the findings. The subsequent sections are arranged as presented: Section 2 outlines foundational principles. The third section presents the primary findings, while Section 4 studies an application based upon findings towards proving the solvability for nonlinear fractional-order differential models. Finally, Section 5 concludes the paper by outlining prospects for continued research.
2. Preliminaries
This section offers fundamental concepts related to graphs and graphical fuzzy metric spaces to assist in comprehending the analysis that follows. Real numbers and positive integers are denoted by and , respectively. To maintain coherence of the framework established in the literature, we follow the approach presented in [41] and [37].
Suppose stands as nonempty set, while represents the diagonal subset of . Take to be a directed graph without parallel edges, for which its vertex set and its edge set includes all loops, i.e., . Then, the set is said to be associated with the graph , or simply . The converse graph is defined by
The undirected graph induced by graph , which contains all symmetric edges, is denoted by where
Consider vertices in . The path connecting to with length in comprises a sequence containing vertices satisfying , and where . The graph is said to be connected whenever a path exists for each pair of vertices in . In addition, for two vertices and in a directed graph , whenever a path from to and from to exists, then vertices and are connected. The graph is considered weakly connected whenever its associated undirected counterpart remains connected.
A relation over is defined by precisely when a directed path exists from to . Given a vertex , we write to express that is located on a directed path from to . Suppose , the notation is expressed as:
Furthermore, sequence is called -termwise connected sequence whenever holds for each . A subgraph of graph constitutes a graph with vertex and edge sets contained in of those of , that is, and .
In the remainder of this paper, all the graphs are assumed to be directed graphs and possess nonempty vertex and edge sets. Graphical metric spaces are defined hereafter.
Definition 2.1 ([41]).
Suppose is a nonempty set associated with a graph and denoted as function in which conditions specified below hold:
-
(GM1)
whenever ;
-
(GM2)
exactly when ;
-
(GM3)
over all ;
-
(GM4)
For , if then for each .
Consequently, is known as graphical metric on , whereby is known as graphical metric space.
Preceding the structures concerning fuzzy metric and graphical fuzzy metric within the literature, a foundational concept essential to these definitions is recalled.
Definition 2.2 ([39]).
Binary operation defined acts as continuous -norm whenever subsequent properties are true:
-
(T1)
whenever belongs to ;
-
(T2)
for every ;
-
(T3)
for every ;
-
(T4)
and imply given belong to ;
-
(T5)
is continuous.
Example 2.3.
Consider listed binary operations defined with :
-
(i)
;
-
(ii)
;
-
(iii)
;
Thus, each operation specified above constitute continuous -norms.
Definition 2.4 ([13]).
Let be a nonempty set, be a continuous -norm, and be a fuzzy set such where the listed conditions are satisfied:
-
(FMS1)
;
-
(FMS2)
if and only if ;
-
(FMS3)
;
-
(FMS4)
;
-
(FMS5)
is continuous;
considering along with . Accordingly, mapping represents fuzzy metric and the triple forms fuzzy metric space.
This section concludes with an exposition of graphical fuzzy metric spaces and several definitions as recently proposed by Saleem et al. [37].
Definition 2.5 ([37]).
Let be a nonempty set associated with graph , denotes a continuous -norm, and fuzzy set in which conditions specified below hold:
-
(GFMS1)
;
-
(GFMS2)
if and only if ;
-
(GFMS3)
;
-
(GFMS4)
For , implies ;
-
(GFMS5)
is continuous;
where and . Consequently, triple is known as graphical fuzzy metric space, whereas represents graphical fuzzy metric on .
Remark 2.6.
If condition (GFMS4) is replaced by the following:
-
(GFMS)
For , implies ;
Then, is called a non-Archimedean graphical fuzzy metric space. Alternatively, the inequality in (GFMS) may be written as . Note that each non-Archimedean graphical fuzzy metric space is a graphical fuzzy metric space.
Example 2.7.
Consider and the graph in which and . A fuzzy set is then given by
where and . Consequently, is readily seen as graphical fuzzy metric space.
Example 2.8 ([42]).
Consider , a graphical metric space associated to graph defined by and . A fuzzy set is then expressed as
where and , where and . Consequently, forms a graphical fuzzy metric space. Under , it is known as standard graphical fuzzy metric space produced by , and is known as graphical fuzzy metric produced by .
Remark 2.9.
Graphical fuzzy metric spaces are generally broader than fuzzy metric spaces. Note that a fuzzy metric space becomes a graphical fuzzy metric space once equipped with a graph in which and . However, a graphical fuzzy metric space might fail to satisfy the conditions required by the fuzzy metric space. Example below demonstrates preceding statement.
Example 2.10.
Take and graph in which and , (see Figure 1). A fuzzy set is expressed as
with and . Consequently, forms graphical fuzzy metric space. Moreover, it is a non-Archimedean graphical fuzzy metric space.
It can be observed that criteria of fuzzy metric space are not satisfied. For instance, consider the case where , . Hence, at any , does not constitute even a strong fuzzy metric space.
Definition 2.11 ([37]).
Consider graphical fuzzy metric space. An open ball with center , radius , and is defined by
Significantly, topology induced by graphical fuzzy metric is but not Hausdorff in general. Additional topological aspects of graphical fuzzy metric spaces are detailed in [42].
Definition 2.12 ([37]).
Consider graphical fuzzy metric space. Sequence is convergent to whenever each and , there exists satisfying for every . Equivalently, sequence in is convergent to if for any .
Remark 2.13.
It is well established that in fuzzy metric spaces, every convergent sequence has a unique limit. However, this property does not necessarily hold in graphical fuzzy metric spaces.
Example 2.14 ([42]).
Consider and a graph defined by and . Further, consider the graphical metric defined by
Let be the graphical fuzzy metric defined as in Example 2.8 with . Then, is a standard graphical fuzzy metric space. Consider the sequence in the form of for each . This sequence possesses infinitely many limits in . In fact, every point of is a limit of . Take any and a fixed , then the intersection of and is nonempty for all . Therefore, is not Hausdorff.
Definition 2.15 ([37]).
Consider a graphical fuzzy metric space. Sequence in is Cauchy sequence whenever every and , there exists satisfying for each . Similarly, the sequence is Cauchy sequence whenever for any .
Definition 2.16 ([37]).
A graphical fuzzy metric space is complete whenever all Cauchy sequences of are convergent. Suppose is a different graph from with , then is considered -complete if each -termwise connected Cauchy sequence in is convergent.
3. Main Results
The present section discusses numerous fixed point findings under non-Archimedean graphical fuzzy metric spaces. To commence, several definitions regarding specific contractive condition are established. Let denoted as collection containing mappings in which exhibits continuous, nondecreasing and holds on every . Lemma below follows from the properties of the mapping .
Lemma 3.1.
Suppose belongs to . Consequently, holds on every .
Proof 3.2.
Assume for which . Since mapping is nondecreasing and , it follows that for all . Consequently, is an increasing sequence and bounded by . Thus, the sequence converges, for example, for some . Due to is continuous, one deduces that
which gives rise to a contradiction. Therefore, throughout .
The following contractive mapping, due to Mihet [29], features under fuzzy metric space.
Definition 3.3 ([29]).
Consider fuzzy metric space and . Mapping is known as fuzzy -contractive mapping if condition below applies:
Building upon this definition, we introduce its fuzzy graphical adaptation as follows.
Definition 3.4.
Let be a graphical fuzzy metric space, be a mapping and is a subgraph of with . Then, mapping is -fuzzy graphical -contraction on whenever the criteria below are met:
-
(FG1)
Mapping is edge preserving in , specifically, implies ;
-
(FG2)
Mapping exists for which each distinct pair satisfying ,
A sequence in beginning with is called -Picard sequence (i.e., the Picard sequence associated with ) if is satisfied for every . In subsequent discussion, graph is assumed to be a subgraph of in which .
Theorem 3.5.
Suppose is a -complete non-Archimedean graphical fuzzy metric space, and is a -fuzzy graphical -contraction. Assume following conditions are satisfied:
-
(i)
there exists satisfying for some ;
-
(ii)
if a -termwise connected -Picard sequence converges to some , then limit and satisfying or for all .
Consequently, there exists where the -Picard sequence begins with is -termwise connected and converges to both and in .
Proof 3.6.
Suppose satisfies for some . Then, construct a -Picard sequence with starting point . It follows that a path exists where and for . Given as a -fuzzy graphical -contraction, the condition (FG1) ensures that for . Consequently, forms a path connecting to with length , which establishes that . Continue in similar manner, it can be derived that for . Accordingly, forms a path connecting to with length , which establishes that for any . Therefore, is considered -termwise connected sequence.
As for and , applying (FG2), it yield
where . Repeating argument above yield
| (1) |
over every . Since sequence is a -termwise connected, by applying (3.6) and (GFMS), one obtains, for any and ,
Furthermore, due to the fact that sequence is considered -termwise connected, it follows that for satisfying and , we obtain
Let in the preceding inequality. Given that is continuous together with Lemma 3.1, it follows that
As a result, is a -termwise connected Cauchy sequence in . Given that is -complete, the sequence converges to some . Employing condition (ii), there exists and satisfying or over and
Without the loss of generality, we consider over all , as can be treated in a similar manner. By (FG1), it follows that whenever . Now, applying (FG2), we yield
As , the preceding inequality becomes
In view of for every , taking in the above inequality leads to
Therefore, also converges to . Accordingly, converges to both and in .
With the aid of the property defined below, the next result establishes the manifestation of a fixed point.
Definition 3.7.
Suppose is a graphical fuzzy metric space, with a subgraph of , and is a self-mapping. Accordingly, possess property (S), if any -termwise connected -Picard sequence possess limits and , then .
Theorem 3.8.
Suppose is a -complete non-Archimedean graphical fuzzy metric space and is -fuzzy graphical -contraction. Assume following conditions are satisfied:
-
(i)
there exists satisfying , for some ;
-
(ii)
if -termwise connected -Picard sequence converges to some , then limit and exist satisfying or whenever .
Consequently, there exists where the -Picard sequence begins with is -termwise connected and converges to both . In addition, possess property (S) implies possess at least one fixed point in .
Proof 3.9.
It can be concluded from Theorem 3.5 that the -Picard sequence begins with converges to both and in . Clearly, and . Consequently, by applying property (S), it leads to which verifies is fixed under .
The example below demonstrates that Theorem 3.8 establishes sufficient conditions for the existence of a fixed point. Nevertheless, the uniqueness is not guarantee.
Example 3.10.
Suppose and is a graph given by and . Fuzzy set is expressed as
where is defined as
Accordingly, constitutes a non-Archimedean graphical fuzzy metric space. Now, consider mapping defined by
Furthermore, define a mapping by for , and be a subgraph of such that and . It then follows that is -complete. The mapping satisfies the conditions of a -fuzzy graphical -contraction (see Figure 2 for graphical visualization).
For any , it follows that and . Therefore, , which implies . Therefore, there exists such that for some . Moreover, any -termwise connected -Picard sequence in is either constant (e.g., for all ) or of the form , with , which converges to and , respectively. Consequently, are contained in for every . It is easily seen that property (S) is satisfied. Therefore, all assumptions of Theorem 3.8 are satisfied. In particular, and are fixed points of mapping . Moreover, there exists a path from to , whereas no path exists from to . Hence, the set is not connected.
The collection of fixed points of a mapping is expressed as . Furthermore, notation is defined by . The result below provides a prerequisite for the uniqueness.
Theorem 3.11.
Suppose is a -complete non-Archimedean graphical fuzzy metric space and is -fuzzy graphical -contraction. Assuming Theorem 3.8 applies and , as a subgraph of , is connected, then mapping admits a unique fixed point.
Proof 3.12.
Theorem 3.8 ensures the existence of fixed point of . Assume that is connected subgraph of , and that represents two separate fixed points of . The fact that validates and hence, . Since is connected, we deduce . Consequently, a sequence exists in which and for .
Given that is a -graphical fuzzy -contraction, by applying (FG1), we yield for and for each . Henceforth, by applying (FG2), this yields
for and for each . Applying (GFMS), it leads to
The fact that indicates and . From the preceding inequality, by letting and Lemma 3.1 it leads to
Equivalently, , leading to a contradiction with the initial assumption. Therefore, fixed point of is unique.
Example below is presented to clarify the preceding findings.
Example 3.13.
Suppose and is a graph given by and . Fuzzy set is expressed as
Accordingly, constitutes -complete non-Archimedean graphical fuzzy metric space. Consider mapping represented by
In addition, let a mapping be defined by for and be a subgraph of such that and .
Take any in which . This condition results in . Consequently,
which reveals that . Hence, condition (FG1) is fulfilled. Furthermore, given satisfying , both inequalities and holds. Thus, for every , we obtain
Hence,
which verifies condition (FG2). Therefore, mapping is qualified as a -fuzzy graphical -contraction. A graphical visualization of condition (FG2) is illustrated in Figure 3.
Next, take arbitrary . Then, , which implies . Therefore, exists where for some . In addition, consider a -Picard sequence begins from such an element . It follows that is -termwise connected and converges to some . For this particular choice of , it can be observed that for each , one can find such that either or at time for all . For instance, by choosing , one can verify that condition (ii) holds (see Table 1). Moreover, observe that possess property (S) and is connected. Consequently, all assumptions of Theorem 3.11 are met. In particular, fits as the unique fixed point of mapping .
| n | |
|---|---|
| 0 | 7.000000 |
| 1 | 5.000000 |
| 2 | 4.358899 |
| 3 | 4.132396 |
| 13 | 4.000007 |
| 14 | 4.000003 |
| 15 | 4.000001 |
| 998 | 4.000000 |
| 999 | 4.000000 |
| 1000 | 4.000000 |
To end this section, some existing findings in the literature that follows directly from our main findings when extended into non-Archimedean graphical fuzzy metric setting are analyzed. To begin with, the extension of the work by Gregori and Sapena [20] is considered.
Definition 3.14.
Let be graphical fuzzy metric space, be mapping and be subgraph of with . Consequently, the mapping is said to be a -fuzzy graphical contractive mapping on if conditions below are satisfied:
-
(GC1)
Mapping is edge preserving in , specifically, implies ;
-
(GC2)
There is in which every satisfying ,
(2)
Corollary 3.15.
Suppose is a -complete non-Archimedean graphical fuzzy metric space and is a -fuzzy graphical contractive mapping. Assume conditions below hold:
-
(i)
there exists satisfying for some ;
-
(ii)
if a -termwise connected -Picard sequence converges to some , then limit and exist satisfying or for all ;
Consequently, there exists where the -Picard sequence begins with is -termwise connected and converges to both and in .
Proof 3.16.
In view of the preceding corollary, subsequent findings on existence and uniqueness of fixed points can be established by analogous reasoning from Theorem 3.8 and Theorem 3.11.
Corollary 3.17.
Suppose is a -complete non-Archimedean graphical fuzzy metric space and is a -fuzzy graphical contractive mapping. Assume conditions below hold:
-
(i)
there exists satisfying , for some ;
-
(ii)
if a -termwise connected -Picard sequence converges to some , then limit and exist satifying or for all .
Consequently, there exists where the -Picard sequence begins with is -termwise connected and converges to both and in . Moreover, if possess property (S), then possess at least one fixed point in .
Corollary 3.18.
Suppose is a -complete non-Archimedean graphical fuzzy metric space and is a -fuzzy graphical contractive mapping. Assuming Corollary 3.17 applies and , as a subgraph of , is connected, then mapping admits a unique fixed point.
Remark 3.19.
The original work of Mihet [29] was carried out in the framework of non-Archimedean fuzzy metric spaces. It was later addressed by Wang [48], who demonstrated that the results remain valid when non-Archimedean fuzzy metric spaces are replaced by fuzzy metric spaces. Therefore, taking Remark 2.9 into consideration, the following corollary can be deduced.
Corollary 3.20 ([48]).
Let be a complete fuzzy metric space. Suppose that is a fuzzy -contractive mapping. Consequently, mapping admits a unique fixed point.
Proof 3.21.
Remark 3.22.
Wardowski [50] proposed a new contractive condition in fuzzy metric spaces by introducing fuzzy -contractive mappings. More precisely, the class contains the mappings where transforms onto and strictly decreasing. However, Gregori and Miñana [17] established that fuzzy -contractive mappings are contained within the class of fuzzy -contractive mappings. On the basis of this observation, the subsequent results are derived.
Corollary 3.23 ([50]).
Let be a complete fuzzy metric space. Suppose that is a fuzzy -contractive mapping with respect to such that
for all and , where . Consequently, the mapping admits a unique fixed point.
Proof 3.24.
Graphs and are defined by and , and mapping is defined by
In this setting, it immediately follows from Theorem 3.11.
Corollary 3.25 ([20]).
Let be a complete fuzzy metric space. Assume is a mapping such that
for all and , with . Consequently, the mapping admits a unique fixed point.
4. Employing Fixed Point Technique to Establish Solutions of Nonlinear Fractional Differential Equations
Fixed point analysis and fractional calculus have become imperative and intertwined with each other in mathematical modelling, especially in practical investigations in nonlinear sciences and engineering over the past years. The former has been frequently applied to examine the existence and uniqueness of solutions for multiple forms of differential and integral equations [55], while the latter serves as an enlargement of classical calculus. In classical calculus, integrals and derivatives are limited to positive integer orders. Although this methodology has proven effective in modelling certain natural phenomena and real-life applications, the increasing complexity of systems arising from the scientific and technological developments has prompted the search for new approaches to deliver more reliable results [51].
Fractional calculus extends integrals and derivatives to arbitrary real (including fractional) orders, thereby allowing the effective modelling of complex mathematical problems. In view of the advantages of fractional-order models over their integer-order counterparts in enhancing reliability and precision, considerable attention has been directed toward their numerical study. Fractional calculus has now been widely adopted across various scientific and engineering disciplines, such as physics, biology, mathematical oncology, chemistry, economics, image processing, and electronics [2, 3, 28, 30, 45, 46, 54].
Recently, fixed point techniques were utilized to explore the existence and uniqueness of solutions for fractional differential equations [1, 9, 14, 21, 22, 47, 49]. Inspired by the study in [57], this section aims to apply the obtained result to prove the existence and uniqueness of solutions for the following nonlinear fractional differential equation:
| (3) |
subject to the boundary conditions
where is the fractional order, represents the Caputo fractional derivative of order , and is a continuous function.
Suppose is the space of all continuous function defined on to . Consider graphs and such that , and
Let graphical metric defined as for all . Accordingly, a graphical fuzzy metric is defined by
for all and . It is straightforward to establish that is a -complete graphical fuzzy metric space where is a product -norm.
Observe that the nonlinear fractional differential equation (3) is equivalent to integral equation below:
| (4) | ||||
where is a Gamma function. This implies for any which solves the integral equation (4) also serves as a solution for the fractional differential equation (3). The presence and the distinctness of a solution for (3) is demonstrated in the next theorem.
Theorem 4.1.
Let be a -complete graphical fuzzy metric space defined as above. Assume to be an integral operator defined by:
where and the function is continuous. Suppose that conditions below hold:
-
(i)
For all and ,
-
(ii)
For and ,
Then, the nonlinear fractional differential equation (3) possess a unique solution in .
Proof 4.2.
Consider a mapping defined by for and . For any such that and , we have
where
From the above inequality, we can deduce that, for any satisfying , and ,
Therefore, we reach the conclusion that
Consequently, the mapping is -fuzzy graphical -contraction. The rest of the assumptions in Theorem 3.11 can be verified accordingly. Hence, a fixed point of integral operator exists, which proves the existence and the uniqueness of a solution for the nonlinear fractional differential equation (3).
5. Conclusion
In this manuscript, fuzzy graphical -contractions in graphical fuzzy metric spaces are introduced. In this structure, fixed point results for such a contractive condition are established accompanied by supporting examples. The generality of the obtained results is discussed with reference to earlier findings in the literature. Furthermore, an application of the obtained results to nonlinear fractional differential equations is presented to demonstrate their potential applicability to suitable real-world problems.
The interplay between fixed point theory and graph theory constitutes a powerful avenue for exploring mathematical problems and applications. In recent years, the investigation of best proximity point theory under various graphical metric structures is beginning to develop; for example, see [11], [12], [27], [37]. Thus, a natural continuation of this study is the expansion to best proximity point theory, which also provides broader coverage for applications in fractional calculus to address real world phenomena in science and engineering.
The class of contractive mapping proposed in this work can be viewed as a particular member of a broader class of mappings. Notably, in a recent study, Shukla et al. [43] presented a new class of mappings, namely, fuzzy -contractive mappings under fuzzy metric spaces. They demonstrated that this class is more general and includes several other classes, including fuzzy -contractive mappings. Thus, investigating the connection between fuzzy -contractive mappings and fuzzy -contractive mappings within graphical fuzzy metric spaces opens a new direction for continued research.
Fixed point theory is not confined to metric structures and can be developed within different frameworks, for example -fuzzy topological spaces [35], non-Archimedean Lie -algebras [6] and intuitionistic fuzzy normed spaces [36]. Examining the connections between present results across different structures contributes to a profound understanding in this area. Moreover, the application and analysis of these results in fuzzy analysis and stability theory offers a promising direction for future research.
Drawing from the above conclusions, this paper concludes by presenting several open problems:
-
(1)
In the current underlying space, is it possible to study fuzzy graphical -proximal contractions and establish their best proximity point results?
-
(2)
Wihin the framework of graphical fuzzy metric spaces, can the property (S) be substituted with an alternative condition for establishing the existence of fixed points?
-
(3)
Can the non-Archimedean property be substituted by a novel definition of Cauchyness in graphical fuzzy metric space?
-
(4)
How can the class of fuzzy graphical contractions be defined and what are their corresponding fixed point results in the graphical fuzzy metric structure?
-
(5)
Can analogous -contractive arguments be applied in intuitionistic fuzzy normed spaces?
Acknowledgements.
The author expresses sincere appreciation to the anonymous referees for their thoughtful comments and constructive recommendations, which have greatly improved the presentation of this manuscript. The author also gratefully acknowledges Universiti Malaysia Terengganu for the financial support provided.Funding.
Financial support for this work was provided by Universiti Malaysia Terengganu via the Interdisciplinary Impact Driven Research Grant (ID2RG) 2024, vote no. 55516.Author contributions.
Conceptualization K.S.W. and Z.S.; investigation, K.S.W. and D.G.; writing—original draft preparation, K.S.W.; writing—review and editing, K.S.W., Z.S. and D.G.; visualization, K.S.W.; supervision, Z.S.; project administration, Z.S.; funding acquisition, Z.S.. All authors have read and agreed to the published version of the manuscript.References
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