Research Article | Open Access

# Hyers-Ulam-Rassias Stability of Some Additive Fuzzy Set-Valued Functional Equations with the Fixed Point Alternative

**Academic Editor:**Geraldo Botelho

#### Abstract

Let *Y* be a real separable Banach space and let be the subspace of all normal fuzzy convex and upper semicontinuous fuzzy sets of *Y* equipped with the supremum metric . In this paper, we introduce several types of additive fuzzy set-valued functional equations in . Using the fixed point technique, we discuss the Hyers-Ulam-Rassias stability of three types additive fuzzy set-valued functional equations, that is, the generalized Cauchy type, the Jensen type, and the Cauchy-Jensen type additive fuzzy set-valued functional equations. Our results can be regarded as important extensions of stability results corresponding to single-valued functional equations and set-valued functional equations, respectively.

#### 1. Introduction

In 1940, Ulam [1] proposed the following question concerning the stability of group homomorphisms.

Let be a group and let be a metric group with the metric . Given , does there exist a such that if a function satisfies the inequality for all , , then there is a homomorphism with for all ?

Afterwards, Hyers [2] gave a first affirmative partial answer to the question of Ulam for Banach spaces. Later, the result of Hyers was generalized by Aoki [3] (for some historical comments regarding the work of Aoki, see [4]) for additive mappings and by Rassias [5] for linear mappings in which the Cauchy difference is allowed to be unbounded. However, the paper of Rassias [5] has provided a lot of influence in the development of what we call Hyer-Ulam stability or Hyers-Ulam-Rassias stability of functional equations. Hereafter, a generalization of Rassias's Theorem obtained by Găvruţa [6] by replacing the Cauchy difference with a more general majorant function in the spirit of Rassias' approach. Until now, the stability problems for different types of functional equations in various spaces have been extensively studied. For more detail, the reader can refer to [7]. Among the studies of these problems, it is worth mentioning that Radu [8] discarded the direct method which was frequently used and proposed a novel method to establish the stability of Cauchy functional equation via fixed point technique. Recently, Ciepliński [9] summarized some applications of several types of fixed point theorems to the Hyers-Ulam stability of functional equations. As of now, this method has been successfully used in the study of stability problems of many types of functional equations in abstract spaces.

As defined in [7], let and be two appropriate spaces, where is equipped with the metric . For some , ( denotes the set of all natural numbers), the following functions are given. Assume that , are functions satisfying some given conditions. If for every function satisfying the inequality

for all , , , , there exists a function such that

for all , , , and

for all , then we say that the functional equation

has the Hyers-Ulam-Rassias stability or the above functional equation is stable in the sense of Hyers-Ulam-Rassias. In particularly, if the functions and are replaced by two constants, and (), respectively, then we say that the functional equation has the Hyers-Ulam stability or it is stable in the sense of Hyers-Ulam.

In 2008, Mirmostafaee and Moslehian [10] initiated the study of stability problems of functional equations in fuzzy setting. Specifically, they considered the stability of the Cauchy functional equation in a fuzzy normed space. In the same year, they together with Mirzavaziri [11] proved the stability of the Jensen functional equation in the same space. Since then, the fuzzy stability problems of various types of functional equations have been extensively investigated by different authors [12, 13]. At the same time, the fixed point method has been widely used to prove the fuzzy stability of several types of functional equations [14, 15].

In summary, one can see that the (fuzzy) stability for a single-valued functional equation is whether, for a given mapping satisfying almost a functional equation (which means that the mapping is close to a solution of the functional equation), there exists an exact solution of the functional equation which can be used to approximate the given mapping. Typically, a metric associated with the corresponding space is chosen to characterize the functional inequality. In 2009, Nikodem and Popa [16] considered the general solution of set-valued maps satisfying linear inclusion relation, which can be regarded as a generalization of the additive single-valued functional equation. By means of the inclusion relation, Lu and Park [17] first investigated the stability of two types of additive set-valued functional equations. In the following, Park et al. [18] further studied the stability problems of the quadratic, cubic, and quartic set-valued functional equations in a similar way. However, it should be pointed out that, in their studies, the inclusion relation is applied to characterize the set-valued functional inequality rather than an appropriate metric. Recently, similar to the method that is used to deal with the single-valued functional equations, Kenary et al. [19] proved the stability of several types of set-valued functional equations via the fixed point approach, in which the Hausdorff metric is adopted to characterize the set-valued functional inequality.

The purpose of this paper is to extend the set-valued functional equations to fuzzy set-valued functional equations and establish some stability results of several important fuzzy set-valued functional equations, including the generalized Cauchy, Jensen, and Cauchy-Jensen type fuzzy set-valued functional equations. Notice that the supremum metric, as a generalization of the Hausdorff metric, is applied to characterize the fuzzy set-valued functional inequality. More importantly, the corresponding single-valued and set-valued functional equations acted as special cases will be included in our results.

#### 2. Preliminaries

In what follows, we begin with some related concepts and fundamental results, which are mainly derived from [20–23]. Let , , and denote the set of all real numbers, the set of all nonnegative real numbers, and the -dimensional Euclidean space, respectively.

Let be a real separable Banach space with the norm . We denote by and the set of all nonempty compact subsets of and the set of all nonempty compact convex subsets of , respectively.

Let and be two nonempty subsets of and let . The (Minkowski) addition and scalar multiplication can be defined by

Notice that the sets and are closed under the operations of addition and scalar multiplication. In fact, these two operations induce a linear structure on and with zero element , respectively. It should be noted that this linear structure is just a cone rather than a vector space because, in general, . Moreover, for all , , it follows that

In particular, if is convex and , then .

Furthermore, we can define the Hausdorff separation of from by

where denotes the closed unit ball in ; that is, . Meantime, the Hausdorff separation of from can also be defined in a similar way.

Based on these two types of separations, the Hausdorff distance between nonempty subsets and is defined by

In general, if , or , then for all . In addition, according to some of the properties of Hausdorff distance, if we restrict our attention to the nonemtpy closed subsets of , then it can be verified that is a metric space. In fact, it follows from [20] that is a complete metric space. Clearly, and are closed subsets of . Hence, and are also complete metric spaces.

In 1991, Inoue [22] introduced the concept of Banach space valued fuzzy sets in order to extend the usual fuzzy sets defined on or . In other words, the base space of a fuzzy set is replaced by a more general Banach space.

For a given real separable Banach space , a fuzzy set defined on is a mapping . Denote by the set of all fuzzy sets defined on . Let denote the class of fuzzy sets with the following properties:(i) is normal, that is, is nonempty;(ii) is upper semicontinuous;(iii)is compact for each ;(iv) is a bound subset of .

Notice that the conditions (ii) and (iv) imply that is also compact. Moreover, we use the notation to denote the subspace of whose members also satisfy(v) is fuzzy convex; that is, is convex for each .

A linear structure can be defined in in a similar way to fuzzy sets in or by for and , where if and . Then is closed under these operations and level setwise

for each and . Similar to the closeness of , it is easy to know that is also closed under these operations. Based on the statement mentioned above, we can easily obtain the following lemma.

Lemma 1. *For any and , , the following equalities hold:*(i)*;*(ii)*;*(iii)* for any .*

*Remark 2. *The Lemma 1 shows that is just a cone defined on rather than a vector space.

As a generalization of the Hausdorff metric in , we will define the supremum metric in . For , , the supremum metric is defined by

*Remark 3. *Every ordinary crisp subset of can be identified with the fuzzy set on by its characteristic function , that is, with if and if . Therefore, if , then (or ), and vice versa.

From Remark 3, for any , (or ), it follows that

In particular, if and degenerate into two singleton sets and , then we can infer from equality (13) that , where denotes the usual metric between and .

In view of the property of the Hausdorff metric, it is easy to see that for any . Restricting attention to the set , we can prove that is a complete metric space by the method analogous to that used in [21] (see Proposition 7.2.3).

Finally, we quote a fundamental result in fixed point theory.

Theorem 4 (Diaz and Margolis [24]). *Let be a complete generalized metric space, that is, one for which may assume infinite values. Suppose that is a strictly contractive mapping with Lipschitz constant . Then, for each given element , either
**
for all or there exists an such that*(i)* for all ;*(ii)*the sequence converges to a fixed point of ;*(iii)* is the unique fixed point of in the set ;*(iv)* for all .*

#### 3. Stability of the Generalized Cauchy Type Additive Fuzzy Set-Valued Functional Equation

In this section, we will establish the Hyers-Ulam-Rassias stability of the generalized Cauchy type additive fuzzy set-valued functional equation by employing the fixed point method.

*Definition 5. *Let be a cone with the vertex and let be a fuzzy set-valued mapping. The generalized Cauchy type additive fuzzy set-valued functional equation is defined by

for all and for some with .

Especially, if , then (15) is called the standard Cauchy type additive fuzzy set-valued functional equation. Every solution of (15) is called a generalized Cauchy type additive fuzzy set-valued mapping.

*Example 6. *Let and . Suppose that is a triangular fuzzy set-valued mapping, that is, for every , is a triangular fuzzy number in , which is defined by

where and are two nonnegative real numbers. By the definition of -level set, we can obtain that

for every . Then, for every , it is easy to verify that

for all and , with . That is, is a solution of (15) in .

*Remark 7. *A triangular fuzzy number is characterized by an ordered triple with such that the support set and -level set .

*Remark 8. *More generally, if , by Lemma 1, it is easy to see that is a solution of (15) for any and any fixed .

Theorem 9. *Let be a function such that there exists a positive constant satisfying
**
for all , and for some , with . Suppose that is a mapping satisfying
**
for all , . Then
**
exists for each and defines a unique generalized Cauchy type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *Replacing in (20), by Lemma 1, we get

for all . Thus, we can obtain

for all .

Consider the set and introduce the generalized metric on , which is defined by

where, as usual, . In can easily be verified that is a complete generalized metric space (see [25], Theorem 2.4).

Now, we consider the linear mapping such that

for all .

Let , be given such that . Then

for all . Hence, we have

for all . So implies that . This means that

for all , . Evidently, is a strictly contractive self-mapping on with the Lipschitz constant .

Moreover, it follows from (24) that . According to Theorem 4, there exists a mapping satisfying the following.(i) is a fixed point of : that is,

for all . The mapping is the unique fixed point of in the set

which implies that is the unique mapping satisfying (30) such that there exists a satisfying

for all .(ii) as . This implies the equality

for all .(iii), which implies the inequality

This implies that the inequality (22) holds.

By (20), we can obtain that

which tends to zero as for all , . Thus,

for all , and therefore the mapping is a generalized Cauchy type additive fuzzy set-valued mapping as desired.

Corollary 10. *Let be a cone with the vertex contained in a real normed space and let , be positive real numbers with (resp. ). Suppose that is a mapping satisfying
**
for all , and for some , with (resp. ). Then
**
exists for each and defines a unique generalized Cauchy type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *In Theorem 9, let . Then we can choose and we get the desired result.

Corollary 11. *Let be a cone with the vertex contained in a real normed space and let , be positive real numbers with (resp. ). Suppose that is a mapping satisfying
**
for all , and for some , with (resp. ). Then
**
exists for each and defines a unique generalized Cauchy type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *In Theorem 9, let . Then we can choose and we get the desired result.

Corollary 12. *Let be a cone with the vertex contained in a real normed space and let , , be positive real numbers with (resp. ). Suppose that is a mapping satisfying
**
for all , and for some , with (resp. ). Then
**
for all .*

*Proof. *In Theorem 9, let . Then we can choose and we get the desired result.

*Remark 13. *According to the equality (13), all results obtained in this section still hold true, even if the fuzzy set-valued mapping degenerates into a set-valued mapping or a single-valued mapping . Therefore, these results can be regarded as an important extension of the stability results of the classical additive Cauchy type functional equations and the additive Cauchy type set-valued functional equations. In essence, Theorem 9 extends some main results obtained by Gajda [26], Hyers [2], and Rassias [5].

#### 4. Stability of the Jensen Type Additive Fuzzy Set-Valued Functional Equation

In this section, we will prove the Hyers-Ulam-Rassias stability of the Jensen type additive fuzzy set-valued functional equation by using the same method as employed in the previous section.

*Definition 14. *Let be a cone with the vertex and let be a fuzzy set-valued mapping. The Jensen type additive fuzzy set-valued functional equation is defined by

for all , . Every solution of (46) is called a Jensen type additive fuzzy set-valued mapping.

*Remark 15. *Obviously, it can be checked that the triangular fuzzy set-valued mapping as defined in Example 6 is also a solution of (46) in . Similarly, is a solution of (46) for any and any fixed .

Theorem 16. *Let be fixed and let be a function such that there exists a positive constant satisfying
**
for all . Moreover, assume that satisfies
**
for all , . If a mapping satisfies and the inequality
**
for all , , then
**
exists for each and defines a unique Jensen type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *Letting in (49). Since for any , we get

for all . Furthermore, it follows from (47) that

for all .

Consider the set and introduce the generalized metric on , which is defined by

where, as usual, . In can easily be verified that is a complete generalized metric space (see [25], Theorem 2.4).

We now define the linear mapping by

for all .

Moreover, we can infer from (52) and (53) that

The rest of the proof is similar to the proof of Theorem 9.

Corollary 17. *Let be fixed and let be positive real numbers with , and let be a cone with the vertex contained in a real normed space. Suppose that is a mapping satisfying
**
for all , . Then
**
exists for each and defines a unique Jensen type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *In Theorem 16, let . Then we can choose and hence we can obtain the desired result.

*Remark 18. *Theorem 16 and Corollary 17 can be viewed as a direct extension of the stability results of the single-valued Jensen functional equation obtained by Cădariu and Radu [27] and Jung [28], respectively.

#### 5. Stability of the Cauchy-Jensen Type Additive Fuzzy Set-Valued Functional Equation

As a combination of the Cauchy and Jensen functional equations, in this section, we will prove that the Hyers-Ulam-Rassias stability of the Cauchy-Jensen type additive fuzzy set-valued functional equation in a similar way as shown before.

*Definition 19. *Let be a cone with the vertex and let be a fuzzy set-valued mapping. The Cauchy-Jensen type additive fuzzy set-valued functional equation is defined by

for all , , . Every solution of (60) is called a Cauchy-Jensen type additive fuzzy set-valued mapping.

*Remark 20. *It is easy to see that the Example 6 is also suitable for (60). Similarly, is a solution of (60) for any and any fixed .

Theorem 21. *Let be fixed and let be a function such that there exists a positive constant satisfying
**
for all , , . Assume that is a mapping satisfying
**
for all , , . Then
**
exists for each and defines a unique Cauchy-Jensen type additive fuzzy set-valued mapping such that**
for all .*

*Proof. *Letting in (62). By Lemma 1, we can get

for all . Furthermore, it follows from (61) that

for all .

Consider the set and introduce the generalized metric on , which is defined by

where, as usual, . It can easily be verified that is a complete generalized metric space (see [25], Theorem 2.4).

We now define the linear mapping by

for all .

Moreover, we can infer from (65) and (66) that

The rest of the proof is similar to the proof of Theorem 9.

*Remark 22. *In Theorem 21, if the fuzzy set-valued mapping degenerates into a set-valued mapping, then the supremum metric will reduce to the Hausdorff metric . Thus, this theorem is obviously an extension of Theorems 2.2 and 2.4 in [19].

Corollary 23. *Let be fixed and let be positive real numbers with and let be a cone with the vertex contained in a real normed space. Suppose that is a mapping satisfying
**
for all . Then
**
exists for each and defines a unique Cauchy-Jensen type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *In Theorem 21, let . Then we can choose and hence we can obtain the desired result.

Corollary 24. *Let be fixed and let be positive real numbers with and let be a cone with the vertex contained in a real normed space. Suppose that is a mapping satisfying
**
for all , , . Then
**
exists for each and defines a unique Cauchy-Jensen type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *In Theorem 21, let . Then we can choose and hence we can obtain the desired result.

Corollary 25. *Let be fixed and let , , , be positive real numbers with and let be a cone with the vertex contained in a real normed space. Suppose that is a mapping satisfying
**
for all , , . Then
**
exists for each and defines a unique Cauchy-Jensen type additive fuzzy set-valued mapping such that
**
for all .*

*Proof. *In Theorem 21, let . Then we can choose and hence we can obtain the desired result.

#### 6. Concluding Remark

In this paper, we proved the Hyers-Ulam-Rassias stability of several types of additive fuzzy set-valued functional equations, including Cauchy, Jensen, and Cauchy-Jensen type fuzzy set-valued functional equations. Our results generalized certain important results obtained by other authors for these equations when they are a single-valued or a set-valued one. Obviously, this paper provided us a novel idea to discuss the stability of functional equations from a more unified perspective. Certainly, further work will focus on the stability of other types of functional equations by using this idea.

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

#### Acknowledgments

This work was supported by “Qing Lan” Talent Engineering Funds by Tianshui Normal University. Yaoyao Lan acknowledges the support of the National Natural Science Foundation of China (no. 11226268), Scientific and Technological Research Program of Chongqing Municipal Education Commission (no. KJ131219), and Program for Innovation Team Building at Institutions of Higher Education in Chongqing (no. KJTD201321). Wei Chen acknowledges the support of the Beijing Municipal Education Commission Foundation of China (no. KM201210038001) and the Humanity and Social Science Youth Foundation of Ministry of Education of China (no. 13YJC630012).

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Copyright © 2014 Yonghong Shen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.