Abstract
In this work, we introduce a new type of multivalued fuzzy proximal quasi-contraction. These are generalized contractions which are a hybrid of -contractive mappings and quasi-contractions. Furthermore, we establish the best proximity point results for newly introduced fuzzy contractions in the context of fuzzy b-metric spaces. Fuzzy b-metric spaces are more general than fuzzy metric spaces and are linked with the cosine distance, which is used in various contexts of artificial intelligence to measure the similarity between elements of a vector space.
Keywords:
fuzzy b-metric spaces; fuzzy proximal contractions; best proximity points; cosine distance MSC:
47H10; 47H09; 54H25
1. Introduction and Preliminaries
Let be a metric space and be a self-mapping. The fixed point problem of the mapping T is finding a point z in Z such that , and a solution to the fixed point problem of T is called a fixed point of T. Banach established the foundations of metric fixed point theory by presenting an instrumental tool in nonlinear analysis, known as the Banach contraction principle (BCP) [1]. The BCP guarantees the existence of a unique solution to a fixed point problem associated with Banach contraction in a complete metric space Many problems in mathematics and related disciplines can be transformed into corresponding fixed point problems of certain mappings. If L and M are two non-empty subsets of a metric space and is a non-self-mapping, then the necessary condition for the solution to the equation is Obviously, if then the equation has no solution. In this case, we try to minimize . To be precise, we try to find a point in L such that
where
If there exists such a point, then it is known as a best proximity point. The best proximity point theory has been discussed in the context of metric spaces (see for details [2,3,4,5,6] and the references therein).
Zadeh [7] introduced the fuzzy set theory in 1965 and opened a new horizon of research in many areas of engineering and mathematics. Kramosil and Michalek defined fuzzy metric spaces (FMSs) by embedding the idea of probabilistic metric spaces by Menger [8] on the fuzzy sets. Some results related to probabilistic Menger spaces can be seen in [9]. George and Veeramani [10] redefined the concept of FMS given in [11] such that the topology induced by FMSs is a Hausdorff space and completely metrizable [12]. The notion of b-metric spaces was initiated by Bakhtin [13] and Czerwik [14]. Sedghi and Shobe [15] generalized b-metric spaces to b-FMSs by applying the idea given in [15]. Interested readers can find some work related to Menger -spaces in [16]. Furthermore, Grabiec [17] launched the fuzzy fixed point theory by proving the BCP in FMSs. Heilpern [18] introduced fuzzy contraction mappings and proved a fixed point theorem for fuzzy contraction mappings. Moreover, Gregori and Sapena [19] introduced the notion of fuzzy contractive mappings and applied the BCP in different classes of complete FMSs in the sense of George and Veeramani, Kramosil and Michalek, and Grabiec. Nadler’s fixed point theorem [20] generalized the BCP for multivalued mappings. Gopal and Vetro [21] introduced the notions of (α-ϕ)-fuzzy contractive mappings and (β-ψ)-fuzzy contractive mappings and proved a couple of theorems about the existence and uniqueness of a fixed point for the above-mentioned mappings. The theory of best proximity points has also been considered in the context of non-Archimedean FMSs (see for details [22] and the references therein).
Wardowski [23] coined a new term, fuzzy -contraction, which is a generalization of the fuzzy contractive mappings in the sense of Gregori and Sapena. Furthermore, they proved some fixed point results for -contractive mappings. Beg et al. [24] introduced the idea of -fuzzy -contractive mapping, which is essentially weaker than the class of fuzzy contractive mappings and is stronger than the concept of (α-ϕ)-fuzzy contractive mappings.
In this article, we have extended the idea of -fuzzy -contractive mapping by introducing multivalued fuzzy (α-ξ-φ)-proximal contraction of type I and type II, and we also consider multivalued fuzzy (β-ψ)-proximal contraction in the b-FMS.
We highlight some basic notions and results that will be used in a follow-up work to obtain the main results presented in this paper. Throughout this article, I represents the interval , Z is a non-empty set, and L and M are non-empty subsets of Z. Moreover, we denote and as the set of all non-empty subsets and the set of all non-empty closed subsets of M, respectively.
Definition 1
([25]). A continuous v-norm is a binary operation such that the following are true:
- ★ is associative and commutative;
- ★ is continuous;
- for every p in I;
- whenever and for all and s in
The three important v-norms, namely the minimum, product, and Lukasiewicz norms, are defined as follows:
One can easily check that In fact, is the largest v-norm. For and the product will be denoted by
Definition 2.
Let Z be a non-empty set, ★ be a continuous v-norm (), and a fuzzy set be defined on , satisfying the following conditions for all and :
- if and only if
- is continuous;
If satisfies –, then the triplet is called an FMS in the sense of George and Veeramani [10]. If satisfies – and , then the quadruple is called a b-FMS [15]. Note that a b-fuzzy metric is a fuzzy metric if we have , but the converse does not hold in general.
Remark 1
([26]). A b-FMS is not continuous in general.
Definition 3
([15]). Let be a b-FMS. For , the open ball with a center and radius is defined by
Definition 4
([15]). Let be a b-fuzzy metric space. Then, the following are true:
- (i)
- A sequence in Z is said to converge to ϱ in Z if and only if as for each or equivalently, iffor all , denoted as as
- (ii)
- A sequence is an M-Cauchy sequence if and only if for all and , there exists such thatfor all
- (iii)
- The b-fuzzy metric space is M-complete if every M-Cauchy sequence converges to some
Lemma 1
([15]). In a b-FMS , the following assertions hold:
- (i)
- The limit of a convergent sequence in Z is unique.
- (ii)
- Every convergent sequence in Z is Cauchy sequence.
Definition 5
(Compare with [3]). Let be a b-FMS. A set M is said to be fuzzy approximatively compact (FAC) with respect to L if every sequence in M satisfying the condition
as and for some has a convergent subsequence.
Definition 6.
Let be a b-FMS and be a multivalued mapping. Then, has the property Q if for any sequences such that
for all implies
for every .
Now, we consider some classes of functions which will be used in the follow-up work.
Definition 7.
Let denote the family of mappings with the following two conditions:
- ;
- ξ is strictly decreasing.
Note that and imply (compare with [23]).
Definition 8.
Let Ψ denote the family of mappings with the following two conditions:
- ψ is continuous and non-decreasing;
- for every .
It is easy to show that if then and for all (compare with [21]).
Definition 9
([27]). Suppose that Φ denotes the class of all functions satisfying the following conditions:
- φ is monotonically increasing;
- for all ;
- φ is continuous;
- for all , where is the iteration of φ.
Let be a b-FMS. We define
where
and the distance of a point from a non-empty set M for is
Definition 10.
Let be a b-FMS. An element is said to be a best proximity point (BPP) of a multivalued mapping if
Definition 11.
Let be an FMS. A mapping is fuzzy -quasi-contractive for if there is , satisfying
for all and for any (see [28] for details).
Definition 12
(Compare with [5]). Let be a b-FMS. A mapping is multivalued fuzzy -proximal admissible if there exist mappings and such that for any and we have
Definition 13.
Let be a b-FMS. A mapping is said to be a multivalued fuzzy -proximal admissible if there exist mappings and such that for any and we have
Definition 14.
Let L and M be non-empty closed subsets of b-FMS and be a mapping. Suppose that is non-empty for every A mapping is said to be a fuzzy (α-ξ-φ)-proximal contraction of type I if there exist and such that
for all where
Definition 15.
Let L and M be non-empty closed subsets of b-FMS . Suppose that is non-empty for every and is a mapping. A mapping is said to be a fuzzy (α-ξ-φ)-proximal contraction of type II if there exist and such that
for all where
Remark 2.
Note that every fuzzy (α-ξ-φ)-proximal contraction of type I is fuzzy (α-ξ-φ)-proximal contraction of type II.
Definition 16
(Compare with [21]). Let L and M be non-empty closed subsets of b-FMS . Suppose that is non-empty for every and is a mapping. A mapping is said to be a fuzzy (β-ψ)-proximal contraction if there exists such that
where
In addition, and
Lemma 2
(Compare with [23]). Let be a b-FMS and . A sequence is an M-Cauchy sequence if and only if for every and , there exists such that
Lemma 3
(Compare with [23]). Let be a b-FMS and . A sequence is convergent to ϱ if and only if
2. Main Results
In this section, we prove the following result for the existence of the BPP theorem for fuzzy (α-ξ-φ)-proximal contractions of type
Theorem 1.
Let be an M-complete b-FMS having the property Q, L and M be two non-empty and closed subsets of Z, M be FAC with respect to L, and be a fuzzy (α-ξ-φ)-proximal contraction of type Moreover, the following conditions hold:
- (i)
- for all
- (ii)
- is non-empty for all , and for every for all ;
- (iii)
- T is -proximal admissible, and there exist in and such that and for all
- (iv)
- is a sequence in such that , and as implies for all and
Then, T has a BPP in .
Proof.
From the given assumption, there exist in , and such that
Hence, we have
Consequently, we obtain
As , and is non-empty, then for some , there exists such that
In other words, we have
This implies that
As T is -proximal admissible, we then have
By continuing in this way, we obtain the sequences and such that
and
Note that for all If for some then
which implies that is the BPP of T. Since T is a fuzzy (α-ξ-φ)-proximal contraction of type I, we therefore have
implying
Now, from Equation (3), we obtain
In other words, we have
for all and Let with . Suppose that is a strictly decreasing sequence of positive numbers such that
For , we have
Thus, we obtain
for all and Let be given. Since
we therefore have
for some Hence, we obtain
for all and Thus, under Lemma 2, it follows that is an M-Cauchy sequence in a closed subset L of a complete b-FMS Z. Therefore, there exists some L such that as . We show that T has a BPP. As , and then under property Q, we have
which implies
Consequently, we have
Since M is FAC with respect to L, there exists a convergent subsequence of such that as . Since M is closed, Because
we thus have
which implies Since ensures that for every there is an such that
we thus have
Consequently, we obtain
Now, we show that . On the contrary, assume that Now, using Equations (2) and (4), and from a given assumption, we have
As T is an (α-ξ-φ)-proximal contraction of type we thus have
Hence, according to Lemma 3, we find
Consequently, using in Equation (4), we obtain
which implies that is the BPP of □
Now, we prove the following theorem for the fuzzy (α-ξ-φ)-proximal contraction mapping of type II via an assumption of continuity on the function
Theorem 2.
Let be an M-complete b-FMS having the property Q, L and M be two non-empty and closed subsets of Z, M be FAC with respect to L, and be a fuzzy (α-ξ-φ)-proximal contraction of type II. Moreover, the following conditions hold:
- (i)
- for all , and ξ is continuous;
- (ii)
- is non-empty for all , and for every for all ;
- (iii)
- T is -proximal admissible, and there exist in and such that and for all ;
- (iv)
- is a sequence in such that , and , as implies for all and
Then, T has a BPP in .
Proof.
Following similar lines to those in the proof of Theorem 1, we find the sequences and in and , respectively, such that is an M-Cauchy sequence. As L is a closed subset of an M-complete b-FMS Z, then there exists some L such that as . We show that T has a BPP. As , , and then under property we have
which implies
Consequently, we have
Since M is FAC with respect to L, there exists a convergent subsequence of such that as . Since M is closed, Because
we thus have
which implies Here, ensures that for every there is an such that
Hence, we have
Consequently, we obtain
Now, we show that . On the contrary, assume that Now, using Equations (2) and (7), and from a given assumption, we have
As T is an (α-ξ-φ)-proximal contraction of type II, we therefore have
Now, if
then with the continuity of , we have
which implies that either or there is a contradiction. Hence, we have
By applying the limit as ∞ in the above inequality, we obtain
implying
Hence, Consequently, by using in Equation (7), we find that
which implies that is the BPP of □
The following result concerns the existence of the best proximity points of multivalued fuzzy -proximal contractions of b-FMS.
Theorem 3.
Let be an M-complete b-FMS having the property Q, L and M be two non-empty and closed subsets of Z, M be FAC with respect to L, and be a fuzzy -proximal contraction. Moreover, let the following conditions hold:
- (i)
- is non-empty for all , and for every for all ;
- (ii)
- T is -proximal admissible, and there exist in and such that and for all
- (iii)
- is a sequence in such that , and as , which implies for all and
Then, T has a BPP in
Proof.
From the given assumption, there exist in and such that
Hence, we have
Consequently, we obtain
As , and is non-empty, then for some , there exists such that
In other words, we have
This implies that
As T is -proximal admissible, thus
By continuing this way, we find the sequences and such that
and
Note that for all If for some then
which implies that is the BPP of T. Since T is a -proximal contraction, therefore
which implies that
Now, from Equation (11), we obtain
In other words, we have
for all and . Since for all we obtain
which implies that
Now, we prove that is an M-Cauchy sequence. Assume, on the contrary, that is not an M-Cauchy sequence, that is, there is an and such that for every there are with and
Let be the lowest integer greater than satisfying Equation (13), that is, let
which implies that for every k, we obtain
Similarly, we can find that
Furthermore, we have
Since T is a -proximal contraction, therefore
Now, if
then Equation (16) implies
while taking the limit as implies
which is a contradiction. If
then Equation (16) implies
while taking the limit as implies
which is a contradiction. If
then Equation (16) implies
while taking the limit as implies
which is a contradiction. Hence, is an M-Cauchy sequence in a closed subset L of a complete b-FMS Z. Thus, there exists some L such that as . We show that T has a BPP. As , , and then under the property Q, we have
which implies
Consequently, we have
Since M is FAC with respect to L, there exists a convergent subsequence of such that as . Since M is closed, then Because
thus
which implies Here, ensures that for every there is an such that
Hence, we have
Consequently, we obtain
Now, we show that . On the contrary, assume that Then, by using Equations (10) and (17), and from a given assumption, we have
Since T is a -proximal contraction, therefore
Example 1.
Let , and We define as follows:
It is easy to check that
Clearly, and We define the mapping as follows:
Also, for all We define
Then, -proximal admissibility implies the following cases:
- (i)
- , and
- (ii)
- , and
- (iii)
- , and
If we have then we can use
where
Now, if
then for , and , we have
and
Consequently, we obtain
Now, for the case where , and , we have
and
Consequently, we obtain
The same result is present for the last case, where and
Thus, all the conditions for Theorem 3 are satisfied, and is the BPP of T in .
Corollary 1.
Let be a complete FMS and L be a non-empty closed subset of Z. Then, the mapping satisfies
for all , where
Moreover, the following conditions hold:
- (i)
- for all
- (ii)
- T is -admissible, and there exists in L such that for all
- (iii)
- is a sequence in L such that , and as , which implies for all and
Then, T has a fixed point in
Proof.
Let , and consider that . Also, insert into Theorem 1. □
Corollary 2.
Let be a complete FMS and L be a non-empty closed subset of Z. The mapping satisfies
for all , where
Moreover, the following conditions hold:
- (i)
- for all
- (ii)
- T is -admissible, and there exists in L such that for all
- (iii)
- is a sequence in L such that , and as , which implies for all and
Then, T has a fixed point in
Proof.
Let , and consider that in Corollary 1. □
Remark 3.
If we take in Corollary 2, then we obtain Theorem 3.4 in [24].
3. Conclusions
In this paper, we considered the problem of the existence of best proximity points of multivalued fuzzy proximal contractions of various types in the set-up of fuzzy b-metric spaces. Notably, many distance functions in applications do not satisfy the triangle inequality like fuzzy metrics do, rather, they satisfy a relaxed triangle inequality, like the inequality of (strong) fuzzy b-metrics. For instance, compare [29,30,31,32]. One example of such a function is the cosine distance function, which has been used in artificial intelligence to measure the similarity between different objects of vector spaces (for details, see [33]). Moreover, one can prove that the fuzzy distance induced by the cosine distance function is not fuzzy metric, rather, it is fuzzy b-metric. In this way, as a future direction, one can consider establishing a link between the best proximity point problems in the context of fuzzy b-metrics induced by functions like cosine distance functions and optimization problems in artificial intelligence.
Author Contributions
Conceptualization, M.A. and B.A.; formal analysis, M.A. and B.A.; investigation, M.A.; writing—original draft, M.A.; writing—review and editing, M.A. and B.A.; supervision, B.A.; project administration, B.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Acknowledgments
We are very grateful to the anonymous reviewers for their in-depth review and very useful comments, which helped us to improve the overall presentation of this paper.
Conflicts of Interest
The authors declare no conflicts of interest.
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