Abstract
The fuzzy numbers are fuzzy sets owning some elegant mathematical structures. The space consisting of all fuzzy numbers cannot form a vector space because it lacks the concept of the additive inverse element. In other words, the space of fuzzy numbers cannot be a normed space even though the normed structure can be defined on this space. This also says that the fixed point theorems established in the normed space cannot apply directly to the space of fuzzy numbers. The purpose of this paper is to propose the concept of near fixed point in the space of fuzzy numbers and to study its existence. In order to consider the contraction of fuzzy-number-valued function, the concepts of near metric space and near normed space of fuzzy numbers are proposed based on the almost identical concept. The concepts of Cauchy sequences in near metric space and near normed space of fuzzy numbers are also proposed. Under these settings, the existence of near fixed points of fuzzy-number-valued contraction function in complete near metric space and near Banach space of fuzzy numbers are established.
Keywords:
Cauchy sequence; near fixed point; near metric space of fuzzy numbers; near normed space of fuzzy numbers; null set MSC:
03E72; 47H10; 47H10
1. Introduction
The fuzzy numbers can be treated as the imprecise data. For example, in the financial market, the data may not be precisely measured owing to the fluctuation. However, based on the knowledge of experts, it may be said that each numerical data will be around some certain value. In this case, these imprecise data can be described as the fuzzy numbers. In other words, the fuzzy sets theory may provide a useful tool to tackle this kind of imprecision. The basic ideas and applications of fuzzy sets theory can refer to the monographs [1,2,3,4,5,6].
Let denote the family of all fuzzy numbers, which will be described in detail below. However, this family cannot form a vector space. The main reason is that each fuzzy number in does not have the additive inverse element. Although the space is not a vector space, the Hahn-Banach extension theorems on still can be studied by referring to Wu [7]. On the other hand, the fixed point theorems in fuzzy metric space have been studied in [8,9,10,11,12,13,14,15,16,17,18,19]. However, the fuzzy metric space is completely different from the near metric space of fuzzy numbers that is adopted in this paper. The purpose of this paper is to study the near fixed point theorem in the near metric space .
Some of the conventional fixed point theorems were established in normed space. Since is not a vector space, it cannot also be a normed space even though we can define a norm structure on . Therefore, the conventional fixed point theorems will not be applicable in . In this paper, based on the norm structure defined on , the concept of Cauchy sequence in can be similarly defined. In this case, the Banach space of fuzzy numbers can be defined according to the concept of Cauchy sequence. The main aim of this paper is to study and establish the so-called near fixed point theorems in Banach space of fuzzy numbers.
Let U be a topological space. The fuzzy subset of U is defined by a membership function . The -level set of , denoted by , is defined by
for all . The 0-level set is defined as the closure of the set .
Let ⊙ denote any one of the four basic arithmetic operations between two fuzzy subsets and . The membership function of is defined by
for all . More precisely, the membership functions are given by
where .
Let U be a real topological vector space. We denote by the set of all fuzzy subsets of U such that each satisfies the the following conditions:
- is normal, i.e., for some ;
- is convex, i.e., the membership function is quasi-concave;
- the membership function is upper semicontinuous;
- the 0-level set is a compact subset of U.
In particular, if then each element of is called a fuzzy number.
For , it is well-known that, for each , the -level set is a bounded closed interval in , which is also denoted by .
We say is a crisp number with value a if and only if the membership function of is given by
It is clear that each -level set of is a singleton set for . Therefore, the crisp number can be identified with the real number a. In this case, we have the inclusion . For convenience, we also write .
Let and be two fuzzy numbers with and for . It is well known that
and, for ,
For any and , it is clear to see that
Suppose that . Then we have
which says that each -level set is an “approximated real zero number” with symmetric uncertainty . It is also clear that the real zero number has the highest membership degree 1 given by . In this case, we can say that is a fuzzy zero number.
Let
Equivalently, if and only if and for all , i.e.,
where the bounded closed interval is an “approximated real zero number” with symmetric uncertainty . In other words, each is a fuzzy zero number. We also call as the null set in . It is also clear that the crisp number with value 0 is in the null set . Since the null set collects all of the fuzzy zero numbers, it can be regarded as a kind of “zero element” of . The true zero element of is , since it is clear that for any . On the other hand, since is not a zero element of , this says that cannot form a vector space under the above fuzzy addition and scalar multiplication.
Recall that the (conventional) normed space is based on the vector space. Since is not a vector space, we cannot consider the (conventional) normed space . Therefore we cannot study the fixed point theorem in using the conventional way. In this paper, although is not a vector space, we still can endow a norm to in which the axioms are almost the same as the axioms of conventional norm. The only difference is that the concept of null set is involved in the axioms. Under these settings, we shall study the so-called near fixed point theorem in the near normed space of fuzzy numbers .
Let be a function from into itself. We say that is a fixed point if and only if . Since lacks the vector structure, we cannot expect to obtain the fixed point of the mapping using the conventional ways. In this paper, we shall try to find a fuzzy number satisfying for some . Since the null set can play the role of “zero element” in , i.e., the elements and can be ignored in some sense, this kind of fuzzy number is said to be a near fixed point of the mapping .
In Section 2, the concept of the null set in fuzzy numbers is proposed, where some interesting properties are derived in order to study the near fixed point theorem. In Section 3 and Section 4, the concepts of near metric space and near normed space of fuzzy numbers are proposed, where some interesting properties are also derived for further discussion. In Section 5, the concepts of Cauchy sequence in metric space and normed space of fuzzy numbers are similarly defined according to the conventional way. In Section 6, the concept of near fixed point of fuzzy-number-valued function is proposed. Also, three concepts of metric contraction of fuzzy-number-valued functions are proposed. Using the completeness of near metric space of fuzzy numbers, many near fixed point theorems are established. In Section 7, we also propose three concepts of norm contraction of fuzzy-number-valued functions. In this case, many near fixed point theorems in near Banach space of fuzzy numbers are established.
2. Space of Fuzzy Numbers
Under the fuzzy addition and scalar multiplication in , it is clear to see that cannot form a vector space. One of the reasons is that, given any , the difference is not a zero element of . It is clear to see that is a zero element, since
for any . However, we cannot have for any . We also recall that the following family
is called the null set of , which can be regarded as a kind of “zero element” of . In this section, we shall present some properties involving the null set , which will be used for establishing the so-called near fixed point theorems in . For further discussion, we present some useful properties.
Proposition 1.
The following statements hold true.
- for and ;
- for and ;
- implies .
- for with .
- Ω is closed under the fuzzy addition; that is, for any .
Since the null set can be regarded as a kind of “zero element”, we can propose the almost identical concept for elements in .
Definition 1.
Given any , we say that and are almost identical if and only if there exist such that . In this case, we write .
Given any with , we cannot obtain the equality as the usual sense. As a matter of fact, we can just have . Indeed, since , by adding on both sides, we obtain , where . This says that .
Proposition 2.
The binary relation is an equivalence relation.
Proof.
For any , implies , which shows the reflexivity. The symmetry is obvious by the definition of the binary relation . Regarding the transitivity, for and , we want to claim . By definition, we have
for some for . Then
which shows , since is closed under the fuzzy addition as shown in Proposition 1. This completes the proof. ☐
According to the equivalence relation , for any , we define the equivalence class
The family of all classes for is denoted by . In this case, the family is called the quotient set of . We also have that implies . In other words, the family of all equivalence classes form a partition of the whole set . We also remark that the quotient set is still not a vector space. The reason is
for , since for with .
3. Near Metric Space of Fuzzy Numbers
To study the near fixed point in , we are going to consider the metric d defined on .
Definition 2.
For the nonnegative real-valued function defined on the product space , we consider the following conditions:
- (i)
- if and only if for all ;
- (ii)
- for all ;
- (iii)
- for all ;
- A pair is called a near pseudo-metric space of fuzzy numbers if and only if d satisfies conditions (ii) and (iii).
- A pair is called a near metric space of fuzzy numbers if and only if d satisfies conditions (i), (ii) and (iii).
We say that d satisfies the null equalities if and only if the following condition (iv) is satisfied:
- (iv)
- for any and , the following three equalities are satisfied:
- ;
- ;
- .
Example 1.
Let us define a nonnegative real-valued function by
Then is not a (conventional) metric space, since cannot imply . However, we are going to claim that is a near metric space of fuzzy numbers such that d satisfies the null equality.
- (i)
- Given any fuzzy numbers and , we see that for all . ThereforeSuppose thatWe are going to claim . From (4), we must have for all . Now we also have for all , which also says that for all , i.e., for all . It is easy to see that and by using the facts of , and . Therefore we can form two identical closed intervalsNow the closed intervals and can be written asandThen we can form two fuzzy numbers and such thatIt is clear to we see that . Therefore, from (5)–(7), we obtain , which shows , since . Conversely, suppose that . Then for some . By the definition of Ω, we havewhere for all . From , we obtaini.e., and for all .Then we obtain
- (ii)
- We have
- (iii)
- Given any , we have
- (iv)
- For any and , i.e., , where and , we have
The verification is complete.
4. Near Normed Space of Fuzzy Numbers
Recall that is not a vector space. Therefore we cannot endow a norm to in the conventional way to consider the normed space . However, we can propose the so-called near normed space of fuzzy numbers involving the null set as follows.
Definition 3.
Given the nonnegative real-valued function defined on , we consider the following conditions:
- (i)
- for any and ;
- (i′)
- for any and with .
- (ii)
- for any .
- (iii)
- implies .
We say that satisfies the null condition when condition (iii) is replaced by if and only if . Different kinds of near normed space of fuzzy numbers are defined below.
- We say that is a near pseudo-seminormed space of fuzzy numbers if and only if conditions () and (ii) are satisfied.
- We say that is a near seminormed space of fuzzy numbers if and only if conditions (i) and (ii) are satisfied.
- We say that is a near pseudo-normed space of fuzzy numbers if and only if conditions (), (ii) and (iii) are satisfied.
- We say that is a near normed space of fuzzy numbers if and only if conditions (i), (ii) and (iii) are satisfied.
Now we consider the following definitions:
- We say that satisfies the null super-inequality if and only if for any and .
- We say that satisfies the null sub-inequality if and only if for any and .
- We say that satisfies the null equality if and only if for any and .
For any , since , we have
Example 2.
For any , we define
Then we have the following properties.
- if and only if . Indeed, if , then for all , which also says that for all . This shows that . For the converse, if then for all . This shows that . Therefore satisfies the null condition.
- We have
- We have
- For any , i.e., for all , we have
We conclude that is a near normed space of fuzzy numbers such that the null condition and null equality are satisfied.
Proposition 3.
Let be a near pseudo-seminormed space of fuzzy numbers such that satisfies the null super-inequality. For any , we have
Proof.
We have
This completes the proof. ☐
Proposition 4.
According to Definitions 1 and 3, the following statements hold true.
- (i)
- Let be a near pseudo-seminormed space of fuzzy numbers such that satisfies the null equality. For any , if , then .
- (ii)
- Let be a near pseudo-normed space of fuzzy numbers. For any , we have that implies .
- (iii)
- Let be a near pseudo-seminormed space of fuzzy numbers such that satisfies the null super-inequality and null condition. For any , we have that implies .
Proof.
To prove part (i), we see that implies for some . Therefore, using the null equality, we have
To prove part (ii), suppose that . Then , i.e., for some . By adding on both sides, we have for some , which says that .
To prove part (iii), for , we have for some . Since is closed under the fuzzy addition, it follows that
for some . Using the null super-inequality, null condition and (8), we have
This completes the proof. ☐
5. Cauchy Sequences
In this section, we are going to introduce the concepts of Cauchy sequences and completeness in the near metric space of fuzzy numbers and the near normed space of fuzzy numbers.
5.1. Cauchy Sequences in Near Metric Space of Fuzzy Numbers
We first introduce the concept of limit in the near metric space of fuzzy numbers.
Definition 4.
Let be a near pseudo-metric space of fuzzy numbers. The sequence in is said to be convergent if and only if
The element is called the limit of the sequence .
Let be a sequence in . If there exist such that
then, by the triangle inequality (iii) in Definition 2, we have
which says that . By condition (i) in Definition 2, we see that , which also says that is in the equivalence class .
Proposition 5.
Suppose that d satisfies the null equality(iv)in Definition 2. Let be a sequence in satisfying as . Then as for any .
Proof.
For , we have for some . Using the null equality, we obtain
This completes the proof. ☐
Inspired by the above result, we propose the following definition.
Definition 5.
If is a sequence in satisfying
for some , then the equivalence class is called the class limit of . We also write
Proposition 6.
The class limit in the near metric space of fuzzy numbers is unique.
Proof.
Suppose that the sequence is convergent with the class limits and . Then we have
which says that by referring to (9). Therefore we obtain , i.e., . This completes the proof. ☐
Definition 6.
Let be a near metric space of fuzzy numbers.
- A sequence in is called a Cauchy sequence if and only if, given any , there exists such that for all and .
- A subset of is said to be complete if and only if every Cauchy sequence in is convergent to some element in .
The following result is not hard to prove.
Proposition 7.
Every convergent sequence in a near metric space of fuzzy numbers is a Cauchy sequence.
Example 3.
Continued from Example 1, we see that d satisfies the null equality, where the metric d is defined in (3). Now we want to show that this space is also complete. Suppose that is a Cauchy sequence in the near metric space of fuzzy numbers . For convenience, the end-points of α-level closed interval of is written by
Then we have
for sufficiently large n and m. For each fixed , we define
Let . Then we can consider a sequence of continuous functions on . Then (10) shows that the sequence of functions satisfies the Cauchy condition for uniform convergence by referring to Apostol ([20], Theorem 9.3). This also says that converges uniformly to a limit function on . Therefore, for sufficiently large n, we have
Since each is continuous on , Apostol ([20], Theorem 9.2) also says that the limit function is continuous on . The continuity of on allows us to find a fuzzy number such that . Therefore, using (11), we have
for sufficiently large n. This shows that the sequence is convergent, i.e., the space is complete.
5.2. Cauchy Sequences in Near Normed Space of Fuzzy Numbers
Let be a near pseudo-seminormed space of fuzzy numbers. Given a sequence in , it is clear that . The concept of limit is defined below.
Definition 7.
Let be a near pseudo-seminormed space of fuzzy numbers. A sequence in is said to converge to if and only if
We have the following interesting results.
Proposition 8.
Let be a near pseudo-normed space of fuzzy numbers with the null set Ω, and let be a sequence in .
- (i)
- If the sequence converges to and simultaneously, then .
- (ii)
- Suppose that satisfies the null equality. If the sequence converges to , then, give any , the sequence converges to .
Proof.
To prove the first case of part (i), we have
By Proposition 3, we have
which says that . By Definition 3, we see that , i.e., , which also says that is in the equivalence class .
To prove part (ii), for any , i.e., for some , using the null equality, we have
This completes the proof. ☐
Inspired by part (ii) of Proposition 8, we propose the following concept of limit.
Definition 8.
Let be a near pseudo-seminormed space of fuzzy numbers. If the sequence in converges to some , then the equivalence class is called the class limit of . We also write
We need to remark that if is a class limit and then it is not necessarily that the sequence converges to unless satisfies the null equality. In other words, for the class limit , if satisfies the null equality, then part (ii) of Proposition 8 says that sequence converges to for any .
Proposition 9.
Let be a near pseudo-normed space of fuzzy numbers such that satisfies the null super-inequality. Then the class limit is unique.
Proof.
Suppose that the sequence is convergent with the class limits and . Then, by definition, we have
which implies by referring to (12). By part (ii) of Proposition 8, we have , i.e., . This shows the uniqueness in the sense of class limit. ☐
Definition 9.
Let be a near pseudo-seminormed space of fuzzy numbers.
- A sequence in is called a Cauchy sequence if and only if, given any , there exists such thatfor with .
- A subset of is said to be complete if and only if every Cauchy sequence in is convergent to some element in .
Proposition 10.
Let be a near pseudo-seminormed space of fuzzy numbers such that satisfies the null super-inequality. Then every convergent sequence is a Cauchy sequence.
Proof.
If the sequence converges to , then, given any ,
for sufficiently large n. Therefore, by Proposition 3, we have
for sufficiently large n and m, which says that is a Cauchy sequence. This completes the proof. ☐
Definition 10.
Different kinds of near Banach spaces of fuzzy numbers are defined below.
- Let be a near pseudo-seminormed space of fuzzy numbers. If is complete, then it is called a near pseudo-semi-Banach space of fuzzy numbers.
- Let be a seminormed space of fuzzy numbers. If is complete, then it is called a near semi-Banach space of fuzzy numbers.
- Let be a near pseudo-normed space of fuzzy numbers. If is complete, then it is called a near pseudo-Banach space of fuzzy numbers.
- Let be a near normed space of fuzzy numbers. If is complete, then it is called a near Banach space of fuzzy numbers.
Example 4.
Continued from Example 2, we want to show that the near normed space of fuzzy numbers is complete. Suppose that is a Cauchy sequence in . Then we have for with , i.e.
For each fixed , we define
By referring to Example 3, we can find a fuzzy number such that, for sufficiently large n,
Therefore, for sufficiently large n, we have
This shows that the sequence is convergent, i.e., is a near Banach space of fuzzy numbers.
6. Near Fixed Point Theorems in Near Metric Space of Fuzzy Numbers
Let be a fuzzy-number-valued function from into itself. We say that is a fixed point of if and only if . The well-known Banach contraction principle presents the fixed point of function when is taken to be a metric space. Since presented in Example 1 is not a metric space (it is a near metric space), we cannot study the Banach contraction principle on this space . In other words, we cannot study the fixed point of contractive mappings defined on into itself in the conventional way. However, we can investigate the so-called near fixed point defined below.
Definition 11.
Let be a fuzzy-number-valued function defined on into itself. A point is called a near fixed point of if and only if .
By definition, we see that if and only if there exist such that one of the following equalities is satisfied:
- ;
- ;
- .
We also see that if then , since the crisp number with value 0 is in and .
Definition 12.
A fuzzy-number-valued function is called a metric contraction on if and only if there is a real number such that
for any .
Given any initial element , we define the iterative sequence using the fuzzy-number-valued function as follows:
Under some suitable conditions, we are going to show that the sequence can converge to a near fixed point. If the near metric space of fuzzy numbers is complete, then it is also called a complete near metric space of fuzzy numbers.
Theorem 1.
(Near Fixed Point Theorem) Let be a complete near metric space of fuzzy numbers such that d satisfies the null equality. Suppose that the fuzzy-number-valued function is a metric contraction on . Then has a near fixed point satisfying . Moreover, the near fixed point is obtained by the limit
in which the sequence is generated according to (14). We also have the following properties.
- The uniqueness is in the sense that there is a unique equivalence class such that any cannot be a near fixed point.
- Each point is also a near fixed point of satisfying and .
- If is a near fixed point of , then , i.e., . Equivalently, if and are the near fixed points of , then .
Proof.
Given any initial element , we have the iterative sequence according to (14). We are going to show that is a Cauchy sequence. Since is a metric contraction on , we have
For , using the triangle inequality, we obtain
Since , we have in the numerator, which says that
This proves that is a Cauchy sequence. Since the near metric space of fuzzy numbers is complete, there exists such that , i.e., according to Definition 5 and Proposition 6.
We are going to show that any point is a near fixed point. Now we have
Therefore we obtain
which implies as , i.e., for any point .
Now we assume that there is another near fixed point of with , i.e., . Then
for some , . Since is a metric contraction on and d satisfies the null equality, we obtain
Since , we must have , i.e., , which contradicts . Therefore, any cannot be a near fixed point. Equivalently, if is a near fixed point of , then . This completes the proof. ☐
Example 5.
Continued from Example 3, the near metric space of fuzzy numbers is complete. Given a real number , we consider the fuzzy-number-valued function
It is clear to see that
Then, using (16) and (3), we have
which says that is a metric contraction. Theorem 1 says that has a near fixed point. It is clear to see that the crisp number with value 0 is a near fixed point, since
Now, given any , we see that . It is not hard to show that there exists another such that
In this case, we have
which shows that is a near fixed point. Therefore, we obtain the unique equivalence class
for , which illustrates the first property of Theorem 1.
Definition 13.
A fuzzy-number-valued function is called a weakly strict metric contraction on if and only if the following conditions are satisfied:
- , i.e., implies ;
- , i.e., implies .
It is clear that if is a metric contraction on , then it is also a weakly strict metric contraction on .
Theorem 2.
(Near Fixed Point Theorem)Let be a complete near metric space of fuzzy numbers. Suppose that the fuzzy-number-valued function is a weakly strict metric contraction on . If forms a Cauchy sequence for some , then has a near fixed point satisfying . Moreover, the near fixed point is obtained by the limit
Assume further that d satisfies the null equality. Then we also have the following properties.
- The uniqueness is in the sense that there is a unique equivalence class such that any cannot be a near fixed point.
- Each point is also a near fixed point of satisfying and .
- If is a near fixed point of , then , i.e., . Equivalently, if and are the near fixed points of , then .
Proof.
Since is a Cauchy sequence, the completeness says that there exists such that , i.e., according to Definition 5 and Proposition 6. Therefore, given any , there exists an integer N such that for . Since is a weakly strict metric contraction on , we consider the following two cases.
- Suppose that . Then
- Suppose that . Then
The above two cases say that . Using the triangle inequality, we obtain
which says that , i.e., . This shows that is a near fixed point.
Assume further that d satisfies the null equality. We are going to claim that each point is also a near fixed point of . Since , we have for some . Then, using the null equality for d, we obtain
We can similarly obtain as . Using the triangle inequality, we have
which says that . Therefore we conclude that for any .
Suppose that is another near fixed point of . Then and , i.e., . Then
for some for . Therefore we obtain
This contradiction says that cannot be a near fixed point of . Equivalently, if is a near fixed point of , then . This completes the proof. ☐
Now we consider another fixed point theorem based on the weakly uniformly strict metric contraction which was proposed by Meir and Keeler [21]. Under the near metric space of fuzzy numbers , we have for . Therefore we propose the following different definition.
Definition 14.
A fuzzy-number-valued function is called a weakly uniformly strict metric contraction on if and only if the following conditions are satisfied:
- for , i.e., , ;
- for , i.e., , given any , there exists such that
Remark 1.
We observe that if is a weakly uniformly strict metric contraction on , then is also a weakly strict metric contraction on by taking .
Lemma 1.
Let be a weakly uniformly strict metric contraction on . Then the sequence
is decreasing to zero for any .
Proof.
For convenience, we write for all n. Let .
- Suppose that . By Remark 1 since is also a weakly strict metric contraction on , we have
- Suppose that . Then, by the first condition of Definition 14, we have
The above two cases say that the sequence is decreasing. We consider the following cases.
- Let m be the first index in the sequence such that . Then we want to claim . Since , we haveUsing the first condition of Definition 14, we also havewhich says that , i.e., . Using the similar argument, we can obtain and . Therefore the sequence is decreasing to zero.
- Suppose that for all . Since the sequence is decreasing, we assume that , i.e., for all n. Then there exists such that for some m, i.e.,By the second condition of Definition 14, we havewhich contradicts . Therefore we must have .
This completes the proof. ☐
Theorem 3.
(Near Fixed Point Theorem) Let be a complete near metric space of fuzzy numbers with the null set Ω, and let be a weakly uniformly strict metric contraction on . Then has a near fixed point satisfying . Moreover, the near fixed point is obtained by the limit
Assume further that d satisfies the null equality. Then we also have the following properties.
- The uniqueness is in the sense that there is a unique equivalence class such that any cannot be a near fixed point.
- Each point is also a near fixed point of satisfying and .
- If is a near fixed point of , then , i.e., . Equivalently, if and are the near fixed points of , then .
Proof.
According to Theorem 2 and Remark 1, we just need to claim that if is a weakly uniformly strict metric contraction, then is a Cauchy sequence for . Suppose that is not a Cauchy sequence. Then there exists such that, given any N, there exist satisfying . Since is a weakly uniformly strict metric contraction on , for , there exists such that
Let . For , we are going to claim
Indeed, if , then it is done, and if , i.e., , then . This proves the statement (17).
Let . Since the sequence is decreasing to zero by Lemma 1, we can find N such that . For , we have
which says that . Since the sequence is decreasing by Lemma 1 again, we obtain
For j with , using the triangle inequality, we also have
We want to show that there exists j with such that and
Then we see that , since . By the definition of , we also see that and
which also says that ; otherwise, that is a contradiction. Therefore, from (22), expression (21) will be sound if we can show that . Suppose that this is not true, i.e., . We also see that . Since is decreasing, from (19) and (20), we have
Therefore, using the triangle inequality, we obtain
which contradicts (21). This contradiction says that every sequence is a Cauchy sequence. This completes the proof. ☐
7. Near Fixed Point Theorems in Near Banach Space of Fuzzy Numbers
Let be a near Banach space of fuzzy numbers. In this section, we shall study the near fixed point in .
Definition 15.
Let be a near pseudo-seminormed space of fuzzy numbers. A fuzzy-number-valued function is called a norm contraction on if and only if there is a real number such that
for any .
Theorem 4.
Let be a near Banach space of fuzzy numbers with the null set Ω such that satisfies the null equality. Suppose that the fuzzy-number-valued function is a norm contraction on . Then has a near fixed point satisfying . Moreover, the near fixed point is obtained by the limit
in which the sequence is generated according to (14). We also have the following properties.
- The uniqueness is in the sense that there is a unique equivalence class such that any cannot be a near fixed point.
- Each point is also a near fixed point of satisfying and .
- If is a near fixed point of , then , i.e., . Equivalently, if and are the near fixed points of , then .
Proof.
Given any initial element , we are going to show that is a Cauchy sequence. Since is a norm contraction on , we have
For , using Proposition 3, we obtain
Since , we have in the numerator, which says that
This proves that is a Cauchy sequence. Since is complete, there exists such that
We are going to show that any point is a near fixed point. Now we have for some . Using the triangle inequality and the fact of norm contraction on , we have
which implies as . We conclude that for any point by part (ii) of Proposition 4.
Now assume that there is another near fixed point of with , i.e., . Then
for some , . Since is a norm contraction on and satisfies the null equality, we obtain
Since , we conclude that , i.e., , which contradicts . Therefore, any cannot be the near fixed point. Equivalently, if is a near fixed point of , then . This completes the proof. ☐
Definition 16.
Let be a near pseudo-normed space of fuzzy numbers. A fuzzy-number-valued function is called a weakly strict norm contraction on if and only if the following conditions are satisfied:
- , i.e., implies .
- , i.e., implies .
By part (ii) of Proposition 4, we see that if , then , which says that the weakly strict norm contraction is well-defined. In other words, should be assumed to be a near pseudo-normed space of fuzzy numbers rather than pseudo-seminormed space of fuzzy numbers. We further assume that satisfies the null super-inequality and null condition. Part (iii) of Proposition 4 says that if is a norm contraction on , then it is also a weakly strict norm contraction on .
Theorem 5.
Let be a near Banach space of fuzzy numbers with the null set Ω. Suppose that satisfies the null super-inequality and null condition, and that the fuzzy-number-valued function is a weakly strict norm contraction on . If forms a Cauchy sequence for some , then has a near fixed point satisfying . Moreover, the near fixed point is obtained by the limit
Assume further that satisfies the null equality. Then we also have the following properties.
- The uniqueness is in the sense that there is a unique equivalence class such that any cannot be a near fixed point.
- Each point is also a near fixed point of satisfying and .
- If is a near fixed point of , then , i.e., . Equivalently, if and are the near fixed points of , then .
Proof.
Since is a Cauchy sequence, the completeness says that there exists such that
Therefore, given any , there exists an integer N such that for . We consider the following two cases.
- Suppose that . Since is a weakly strict norm contraction on , it follows thatby part (iii) of Proposition 4.
- Suppose that . Since is a weakly strict norm contraction on , we have
The above two cases say that . Using Proposition 3, we obtain
which says that , i.e., by part (ii) of Proposition 4. This shows that is a near fixed point.
Assume that satisfies the null equality. We are going to claim that each point is also a near fixed point of . Since , we have for some . Then, using the null equality for , we obtain
Using the above argument, we can also obtain as . Using Proposition 3, we have
which says that . Therefore we conclude that for any point by part (ii) of Proposition 4.
Suppose that is another near fixed point of . Then and , i.e., . Then and , where for . Therefore we obtain
This contradiction says that cannot be a near fixed point of . Equivalently, if is a near fixed point of , then . This completes the proof. ☐
Now we consider another fixed point theorem based on the concept of weakly uniformly strict norm contraction which was proposed by Meir and Keeler [21].
Definition 17.
Let be a near pseudo-normed space of fuzzy numbers with the null set Ω. A fuzzy-number-valued function is called a weakly uniformly strict norm contraction on if and only if the following conditions are satisfied:
- for , i.e., , ;
- for , i.e., , given any , there exists such that implies .
By part (ii) of Proposition 4, we see that if , then , which says that the weakly uniformly strict norm contraction is well-defined. In other words, should be assumed to be a near pseudo-normed space of fuzzy numbers rather than pseudo-seminormed space of fuzzy numbers.
Remark 2.
We observe that if is a weakly uniformly strict norm contraction on , then is also a weakly strict norm contraction on .
Lemma 2.
Let be a near pseudo-normed space of fuzzy numbers with the null set Ω, and let be a weakly uniformly strict norm contraction on . Then the sequence is decreasing to zero for any .
Proof.
For convenience, we write for all n. Let .
- Suppose that . By Remark 2, we have
- Suppose that . Then, by the first condition of Definition 17,
The above two cases say that the sequence is decreasing. We consider the following cases.
- Let m be the first index in the sequence such that . Then we want to claim . Since , we haveUsing the first condition of Definition 17, we also havewhich says that , i.e., . Using the similar arguments, we can obtain and . Therefore the sequence is decreasing to zero.
- Suppose that for all . Since the sequence is decreasing, we assume that , i.e., for all n. There exists such that for some m, i.e.,By the second condition of Definition 17, we havewhich contradicts . Therefore we must have .
This completes the proof. ☐
Theorem 6.
Let be a near Banach space of fuzzy numbers with the null set Ω. Suppose that satisfies the null super-inequality, and that the fuzzy-number-valued function is a weakly uniformly strict norm contraction on . Then has a near fixed point satisfying . Moreover, the near fixed point is obtained by the limit
Assume further that satisfies the null equality. Then we also have the following properties.
- The uniqueness is in the sense that there is a unique equivalence class such that any cannot be a near fixed point.
- Each point is also a near fixed point of satisfying and .
- If is a near fixed point of , then , i.e., . Equivalently, if and are the near fixed points of , then .
Proof.
According to Theorem 5 and Remark 2, we just need to claim that if is a weakly uniformly strict norm contraction, then forms a Cauchy sequence. Suppose that is not a Cauchy sequence. Then there exists such that, given any N, there exist satisfying . Since is a weakly uniformly strict norm contraction on , for , there exists such that
Let . For , we are going to claim
Indeed, if then it is done, and if , i.e., , then .
Let . Since the sequence is decreasing to zero by Lemma 2, we can find N such that . For , we have
which implicitly says that . Since the sequence is decreasing by Lemma 2 again, we obtain
For j with , using Proposition 3, we have
We want to show that there exists j with such that and
Then we see that , since . By the definition of , we also see that and , which also says that . Therefore expression (28) will be sound if we can show that
Suppose that this is not true, i.e., . From (27), we have
Therefore we obtain
which contradicts (28). This contradiction says that the sequence is a Cauchy sequence, and the proof is complete. ☐
Funding
This research received no external funding.
Acknowledgments
The author would like to thank the reviewers for providing the useful suggestions that improve the presentation of this paper.
Conflicts of Interest
The author declares no conflict of interest.
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