Abstract
The conventional concept of α-level sets of fuzzy sets will be treated as the upper α-level sets. In this paper, the concept of lower α-level sets of fuzzy sets will be introduced, which can also be regarded as a dual concept of upper α-level sets of fuzzy sets. We shall also introduce the concept of dual fuzzy sets. Under these settings, we can establish the so-called dual decomposition theorem. We shall also study the dual arithmetics of fuzzy sets in and establish some interesting results based on the upper and lower α-level sets.
1. Introduction
The properties of fuzzy numbers and the arithmetic of fuzzy quantities (or fuzzy numbers) have been studied for a long time. The interesting issue for studying the additive inverse of a fuzzy number may refer to Hong and Do [1], Vrba [2] and Wu [3,4]. Also, Anzilli and Facchinetti [5], Bodjanova [6], Dubois and Prade [7] investigated the median, mean and variance of fuzzy numbers. Wang et al. [8] studied the two-dimensional discrete fuzzy numbers. Mitchell and Schaefer [9] and Yager and Filev [10] studied the orderings of fuzzy numbers. On the other hand, Deschrijver [11,12] studied the arithmetic operators in interval-valued fuzzy set. Ban and Coroianu [13] investigated the approximation of fuzzy numbers. Guerra and Stefanini [14] studied the approximation of arithmetic of fuzzy numbers. Holčapek and Štěpnička [15] studied a new framework for arithmetics of extensional fuzzy numbers. Stupňanová [16] used a probabilistic approach to study the arithmetics of fuzzy numbers. Wu [17] used the decomposition and construction of fuzzy sets to study the arithmetic operations on fuzzy quantities. In this paper, we shall study the dual arithmetic of fuzzy sets by considering the dual membership function.
The -level set of a fuzzy set will be called the upper -level set. In this paper, we shall define the so-called lower -level set. The well-known (primal) decomposition theorem says that the membership function of a fuzzy set can be expressed in terms of the characteristic function of (upper) -level sets. In this paper, we are going to establish the so-called dual decomposition theorem by showing that the membership function can be expressed in terms of lower -level sets.
On the other hand, the concept of dual fuzzy set will be proposed by considering theso-called dual membership function. Based on the dual membership functions, we shall also study the so-called dual arithmetic of fuzzy sets in . The definition of arithmetic operations is based on the supremum and minimum of membership functions. Inspired by its form, we shall define the so-called dual arithmetic operations based on the infimum and maximum of dual membership functions. A duality relation is also established between the arithmetics and dual arithmetics.
In Section 2, we introduce the concept of lower -level sets and present some interesting properties that will be used in the subsequent discussion. In Section 3, we introduce the concept of dual fuzzy set and present some interesting results based on the lower -level sets. In Section 4, we establish the so-called dual decomposition theorem. In Section 5, we introduce the dual arithmetics of fuzzy sets in and establish some interesting results based on the upper and lower -level sets.
2. Lower and Upper Level Sets
Let be a fuzzy subset of a universal set U with membership function denoted by . For , the -level set of is denoted and defined by
For , we also define
The support of a fuzzy set within a universal set U is the crisp set defined by
The definition of 0-level set is an important issue in fuzzy sets theory. If the universal set U is endowed with a topology , then the 0-level set can be defined as the closure of the support of , i.e.,
If U is not endowed with a topological structure, then the intuitive way for defining the 0-level set is to follow the equality (1) for . In this case, the 0-level set of is the whole universal set U. This kind of 0-level set seems not so useful. Therefore, we always endow a topological structure to the universal set U when the 0-level set should be seriously considered.
Let be a fuzzy set in U with membership function . The range of is denoted by that is a subset of . We see that the range can be a proper subset of with . Define
Remark 1.
We have the following observations.
- For any , even though , we have .
- For any , even though , we have . It is also obvious that for .
- If the maximum exists, i.e., , then we have . If does not exist, then .
Therefore we have the following interesting and useful result.
Proposition 1.
Let be a fuzzy set in U with membership function . Define and
Then for all and for all . Moreover, we have .
Remark 2.
Recall that is called a normal fuzzy set in U if and only if there exists such that . In this case, we have . However, the range is not necessarily equal to even though is normal, since the membership function of is not necessarily a continuous function.
The 0-level set of is also called the proper domain of , since for all . For , the -level set of may be called the upper -level set (or upper -cut) of . We also see that
and
Next we shall consider the so-called lower -level set (or lower -cut) of .
Definition 1.
Let be a fuzzy set in a topological space U with proper domain . For , the following set
is called the lower α-level set of . For , we also define
We remark that the lower -level set is considered in the proper domain rather than the whole universal set U. In general, it is clear to see that
Next, we present some interesting observations. We first recall that the notation means and .
Remark 3.
Let be a fuzzy set in U with range . Recall the notations
Then we have the following observations.
- For any , we have . For any , even though , using (4), we haveIt is also obvious that for . If the minimum exists, i.e., , then we have and if does not exist, then .
- If then and .
- For any with , we have .
- From Proposition 1, for with , we have
Regarding the lower -level sets, from the first observation of Remark 3, we have the following interesting and useful result.
Proposition 2.
Let be a fuzzy set in U with membership function . Define and
Then for all and for all .
Remark 4.
If in Proposition 2, then . However, the range is not necessarily equal to when is normal, since the membership function of is not necessarily a continuous function.
Based on the interval in Proposition 2, we present some basic properties of lower -level sets, which will be used in the further study.
Proposition 3.
Let be a fuzzy set in U. Then we have the following results.
- (i)
- If with and is a decreasing sequence in such that , then
- (ii)
- For with , the following statements hold true.
- If , then
- If with for all n, then
- (iii)
- If with , then
- (iv)
- If with , then
Proof.
To prove part (i), since for all , we have for all , which implies . On the other hand, for , we have for all , which implies . Therefore, we conclude that .
To prove part (ii), given , we have . Since , given any , there exists N such that , which says that , i.e., . Therefore, we obtain the inclusion . On the other hand, since , we have the following cases.
- If for all , then , which implies .
- If for all , we see that implies , which says that for all . Therefore, we have .
Then we obtain the desired equalities and inclusions.
To prove part (iii), for , we have . Therefore, we have the inclusion . On the other hand, given any , for , we have , since . This says that , which also implies , since is an arbitrary positive number (i.e., we can take ). Therefore, we conclude that .
To prove part (iv), for , if , i.e., , then . Therefore we obtain , which implies the inclusion . On the other hand, given any , we have . By the denseness, there exists such that , i.e., . Therefore, we obtain . This shows the desired equality, and the proof is complete. □
Based on the interval in Proposition 1, we can similarly obtain the following results.
Proposition 4.
Let be a fuzzy set in U. Then we have the following results.
- (i)
- If with and is an increasing sequence in such that , then
- (ii)
- For with , we have the following results.
- If and , then and .
- If and with for all n, then .
- (iii)
- If with , then
- (iv)
- If with , then
Let be a real-valued function defined on a convex subset S of a real vector space U. Recall that f is quasi-convex on S if and only if, for each , the following inequality is satisfied:
for each . It is well-known that f is quasi-convex on S if and only if the set is convex for each . We also recall that f is quasi-concave on S if and only if is quasi-convex on S. More precisely, the real-valued function f is quasi-concave on S if and only if
for each . We also have that f is quasi-concave on S if and only if the set is convex for each .
Let U be a vector space endowed with a topology, and let be a fuzzy subset of U with membership function . It is well-known that the membership function is quasi-concave if and only if the -level set is a convex subset of U for each . In this case, the union is also a convex subset of U. This says that the upper zero-level set
is a closed and convex subset of U. In particular, if then the convex set is reduced to be an interval for .
Let be a real-valued function defined on a topological space . Recall that f is upper semi-continuous on U if and only if is a closed subset of U for all , and f is lower semi-continuous on U if and only if is a closed subset of U for all . It is clear to see that if f is upper semi-continuous on U then is lower semi-continuous on U, and if f is lower semi-continuous on U then is upper semi-continuous on U.
Definition 2.
Let U be a vector space endowed with a topology, and let be a fuzzy subset of U with membership function . We denote by the family of all fuzzy subsets of U such that each satisfies the following conditions.
- The membership function is upper semi-continuous and quasi-concave on U.
- The upper 0-level set is a compact subset of U.
In particular, if then each is called a fuzzy interval. If the fuzzy interval is normal and the upper 1-level set is a singleton set , where , then is also called a fuzzy number with core value a. Usually, we write the upper case to denote the fuzzy interval, and write the lower case to denote the fuzzy number.
The upper semi-continuity and quasi-concavity says that each upper -level set is a closed and convex subset of U for . Recall that, in a topological space, each closed subset of a compact set is a compact set. Since for , it follows that each upper -level set is also a compact set for .
Suppose that is a fuzzy interval. Then the upper 0-level set is a closed and bounded subset of . Also, the convexity, boundedness and closedness of each upper -level set says that it is a bounded closed interval for . More precisely, we have
In particular, if is a fuzzy number, then for all and for , i.e., the upper 1-level set is a singleton set, where a is the core value.
Example 1.
Let be a fuzzy interval. Then the upper α-level set is a closed interval given by for all . From part (iv) of Proposition 4, for with , we have
Since for , if we further assume that the end-points and are continuous functions with respect to α on , then is an open interval. In this case, from Remark 3, for with , the lower α-level set is given by
that is also a closed set in , where . This also says that the membership function of is lower semi-continuous. Therefore we conclude that the membership function of is continuous. We also see that the lower 1-level set is
Suppose that the minimum exists, i.e.,
Then the lower -level set of consists of two points as
We also see that for .
3. Dual Fuzzy Sets
Let be a fuzzy set in U with membership function defined on U. Recall that the membership function of complement fuzzy set of is denoted and defined by that is also defined on U. Since the 0-level set is treated as the proper domain of , we consider the restrict function of on and define a function on by
Then we use the notation to denote the dual fuzzy set of . The membership function of is given in (6) that is also called a dual membership function. We also remark that , since their domains are different.
Remark 5.
The relationships between the α-level sets of and are given below
- If and , then
- If and , then
- If and , then
- If and , then
Let us recall that notation in Proposition 1 and the notation in Proposition 2. Then we have the following interesting results.
Proposition 5.
Let be a fuzzy set in U with the dual fuzzy set . For with , we have the following properties.
- (i)
- if and only if .
- (ii)
- If or then .
Proof.
We first have
The equalities (7) also say that the maximum exists if and only if the minimum exists. To prove part (i), suppose that . We have two cases.
For the converse, suppose that . Then we can similarly show that . Part (ii) follows from Remark 5 and part (i) immediately. This completes the proof. □
Let . Then the membership function is upper semi-continuous and quasi-concave on . It is also clear to see that the membership function of dual fuzzy set is lower semi-continuous and quasi-convex on . This says that the lower -level set is a closed and convex subset of for .
Example 2.
Let be a fuzzy interval with dual fuzzy set . Since the upper 0-level set is bounded and the lower α-level set is a closed and convex subset of for , it follows that is also a bounded closed interval given by
Using part (ii) of Proposition 5, we also have
This shows that
From part (iv) of Proposition 3, for with , we have
Since for , if we further assume that the end-points and are continuous functions with respect to β on , then is an open interval. In this case, from Remark 3, for with , the upper α-level set is given by
that is a closed set in . This also says that the membership function of is upper semi-continuous. Therefore, we conclude that the membership functions of and are continuous.
4. Dual Decomposition Theorems
Let A be a subset of U. The characteristic function of A is defined to be
Now we define the so-called dual characteristic function of A as follows
It is clear to see that
Let be a normal fuzzy set in U. The well-known (primal) decomposition theorem says that the membership function can be expressed as
where is the characteristic function of the -level set . If is not normal, then we can also show that
The (primal) decomposition theorem says that the membership function can be expressed in terms of upper -level sets. In the sequel, we are going to show that the membership function can also be expressed in terms of lower -level sets as the following form
where is the dual characteristic function of lower -level set .
Proposition 6.
Let be a fuzzy set in a vector space U that is also endowed with a topology. Given any fixed , we have the following results.
- (i)
- Suppose that the minimum exists. Then the function is lower semi-continuous on .
- (ii)
- Suppose that the maximum exists. Then the function is upper semi-continuous on .
Proof.
To prove part (i), from Proposition 2, we see that is a closed interval. We need to show that the following set
is closed for each . If then is closed. If then a singleton set is closed. If then is also closed. Therefore we remain to show that is closed for each . Now, for each , there exists a sequence in such that , i.e., and for all n. Then we have
We also see that there exists a subsequence of such that or .
- Suppose that , i.e., for all k. Then we have , since for all k. This says that , since .
- Suppose that . Since for all k, using part (i) of Proposition 3, we have . This says that , since .
Therefore, we conclude that , i.e., is closed.
To prove part (ii), from Proposition 1, we see that is a closed interval. We need to show that the following set
is closed for each . If then is closed. If then is closed. If then or a singleton set is also closed. Therefore we remain to show that is closed for each . Now, for each , since , we have . Therefore, there exists a sequence such that and for all n, i.e., and for all n. Then we have . We also see that there exists a subsequence of such that or .
- If , i.e., for all k, then , since for all k by part (i) of Proposition 4. This says that , since .
- If , Then since for all k by part (ii) of Proposition 4, we have . This says that , since .
Therefore, we conclude that , i.e., is closed. This completes the proof. □
Theorem 1.
(Dual Decomposition Theorem) Let be a fuzzy set in U with proper domain . For , the membership degree can be expressed in terms of lower α-level sets as follows
where is given in (5).
Proof.
Let , i.e., . Suppose that . If for some , then , which contradicts . Therefore for all , which says that for all . This shows that the equalities in (8) are satisfied. Now we assume . Then . For with , if , then , which contradicts . Therefore, we have for with . If with , then , which says that for . Then we obtain
Since , the above supremum is attained. It means that
The above arguments are still valid when is replaced by . Therefore we obtain the desired equalities. This completes the proof. □
Remark 6.
The decomposition theorem for dual fuzzy set based on the upper α-level sets of is given by
According to Theorem 1, the dual decomposition theorem for based on the lower α-level sets of is given by
Next we are going to present the dual decomposition theorem on a countable set. We write , where denotes the set of all rational numbers. It well-known that the countable set is dense in . This means that, given any , there exist two sequences and in the countable set such that and as .
Theorem 2.
(Dual Decomposition Theorem) Let be a fuzzy set in U with proper domain . Suppose that . For , the membership degree can be expressed in terms of lower α-level sets as follows
Proof.
From Remark 4, it follows that . Using Theorem 1, we can obtain the equalities (9). To prove the equalities (10), let . We first assume that . From the proof of Theorem 1, we have for all , which says that for all . It follows that
Now we assume that . Using (9), we have
Since , from the proof of Theorem 1 we have for with . The denseness also says that there exists a sequence in such that with . It follows that for all n. Let . Then we have
This completes the proof. □
5. Dual Arithmetics of Fuzzy Sets
Let and be fuzzy numbers in ; that is, and are normal fuzzy sets in satisfying some elegant structures such that their -level sets turn into the bounded closed intervals in . Then we have the following well-known equality
where the upper -level sets are considered. For convenience, we use the same notation ∘ to denote the operations for the -level sets and the real numbers . In this paper, we shall consider the general fuzzy sets in rather than the fuzzy numbers to establish the similar equality based on the lower -level sets.
Let ⊙ denote any one of the four basic arithmetic operations between fuzzy sets and in . The membership function of is defined by
for all , where the operation , respectively. Since the 0-level sets and are the proper domain of and , respectively, i.e., for and for , we have
Inspired by the above expression (13), we define a new operation between and using the dual membership functions as follows
We need to emphasize that
However, this operation is reasonable, since we consider the proper domains as shown in (13). Then we have
which implies
Therefore we say that is the dual arithmetic of . This means that, instead of calculating , we can alternatively calculate and use the duality (14) to recover . We are going to study the lower -level sets of dual arithmetic and establish the relationships between and .
Let and be two fuzzy sets in with membership functions and , respectively. Let
From Proposition 1 and (3), we see that for , where is given by
Similarly, we also see that for , where is given by
For further discussion, we need a simple lemma.
Lemma 1.
Let f be a real-valued function defined on A, and let k be a constant. Then
and
Proof.
We have
and
Another equality can be similarly obtained. This completes the proof. □
Proposition 7.
Let and be two fuzzy sets in . Then the following statements hold true.
- (i)
- We havewithWe also have for and for .
- (ii)
- We havewithWe also have for and for .
Proof.
To prove part (i), let and be defined in (15). Then and for all and . It follows that
for all and , which implies
for all . This says that is an upper bound of function . Suppose that for all . Then for all , and . Using Lemma 1, we have
This says that is a least upper bound of function . By the definition of supremum, we obtain the desired equality (16). The interval follows from Proposition 1 immediately.
To prove part (ii), we first note that
Since
for all and , it follows that
for all and , which implies
for all . This says that is a lower bound of function . Suppose that for all . Then for all , and . Using Lemma 1, we have
This says that is a greatest lower bound of function . By the definition of infimum, we obtain the desired equality (17). The interval follows from Proposition 2 immediately. This completes the proof. □
We write . Then is given by
From part (i) of Proposition 7 by referring to (16), we see that
Let S be a nonempty subset in a topological space . Recall that S is compact if and only if, for every sequence in S, there exists a convergent subsequence in S. If the limit of is denoted by , then is in S. In particular, if , then S is compact if and only if S is closed and bounded. We need a useful lemma.
Lemma 2.
(Royden ([18] p. 161)). Let U be a topological space, and let K be a compact subset of U. Let f be a real-valued function defined on U.
- (i)
- If f is lower semi-continuous, then f assumes its minimum on a compact subset of U; that is, the infimum is attained in the following sense
- (ii)
- If f is upper semi-continuous, then f assumes its maximum on a compact subset of U; that is, the supremum is attained in the following sense
If then or . Therefore, in order to consider the operation
we need to take . We also remark that if and are normal fuzzy sets then .
Theorem 3.
Let and be two fuzzy sets in with the dual fuzzy sets and , respectively. Suppose that the arithmetic operations correspond to the operations . Then the following statements hold true.
- (i)
- We have for .
- (ii)
- We have the following inclusion
- (iii)
- Suppose that the membership functions of and are upper semi-continuous. Thenand
- (iv)
- Suppose that the membership functions of and are upper semi-continuous, and that the supports and are bounded. Then
Proof.
To prove part (i), since by (19), Proposition 1 says that for .
To prove part (ii), for with and , since and , there exist and such that for , where and . Therefore, we have
which says that . This shows that for with .
Now, for and , there also exist and such that for . Since
there exist sequence in and sequence in such that and as . Let . Then we see that , since the binary operation is continuous. We also have
which says that . Since , it means that
This shows that . Therefore we conclude that for .
To prove part (iii), in order to prove another direction of inclusion, we further assume that the membership functions of and are upper semi-continuous; that is, the nonempty -level sets and are closed subsets of for all . Given any with and , we have
Since is finite, it is clear to see that is a bounded subset of . We also see that the function is continuous on . Since the singleton set is a closed subset of , it follows that the inverse image of is also a closed subset of . This says that F is a compact subset of . Now we want to show that the function is upper semi-continuous, i.e., we want to show that is a closed subset of for any .
- For with , i.e., and , we havewhich is a closed subset of , since and are closed subsets of .
- If , then is a closed subset of .
- If with then or . Suppose that . Then for all . Similarly, if , then for all . Therefore we conclude that for all , which implies that is also a closed subset of .
Therefore the function is indeed upper semi-continuous. By Lemma 2, the function f assumes maximum on F; that is, from (20), we have
In other words, there exists such that and
i.e., and . Therefore, we obtain and , which says that , i.e., for all with . Using part (i), we obtain the desired equality. We also have
To prove part (iv), for and
there exists a sequence in the set such that as . Using the above same arguments by referring to (21), we also have
Therefore, there exist and such that and
i.e., and . This shows that the sequences and are in the supports and , respectively. Since and are bounded, i.e., and are bounded sequences, there exist convergent subsequences and of and , respectively. In other words, we have and as , where and . Let . Then is a subsequence of , i.e., as . Since
which shows that . Therefore we obtain the inclusion . Using parts (i) and (ii), we obtain the desired equalities. This completes the proof. □
We do not consider the operation ⊘ in Theorem 3. The reasons is that the case of zero denominator should be avoided. We also remark that the arguments in the proof of Theorem 3 are still available for the operation ⊘ by carefully excluding the zero denominator. In order not to complicate the proof of Theorem 3, we omit the case of operation ⊘.
Let and be two fuzzy sets in with the dual fuzzy sets and , respectively. We define
From Proposition 2 and (5), we see that for , where is given by
Similarly, we also see that for , where is given by
We write . Then is given by
From part (ii) of Proposition 7 by referring to (17), we see that
Let be a topological space, and let A be a subset of U. Then the subset A can be endowed with a topology such that is a topological subspace of . In other words, the subset C of A is a -closed subset of A if and only if for some -closed subset D of U. In this case, we say that is upper semi-continuous on A if and only if is a -closed subset of A for all . We also see that if f is upper semi-continuous on A then is lower semi-continuous on A, and if f is lower semi-continuous on A then is upper semi-continuous on A. We have the following observations.
- Suppose that is a fuzzy set in U such that its membership function is upper semi-continuous on U. Then is also upper semi-continuous on the proper domain . Indeed, the setis a -closed subset of .
- Suppose that is a fuzzy set in U such that its membership function is upper semi-continuous on the proper domain . Then it is clear to see that the dual membership function of is lower semi-continuous on .
Theorem 4.
Let and be two fuzzy sets in with the dual fuzzy sets and , respectively. Suppose that the dual arithmetic operations correspond to the operations . Then the following statements hold true.
- (i)
- We have for .
- (ii)
- We have the inclusion
- (iii)
- Suppose that the membership functions of and are upper semi-continuous on and , respectively. Then
Proof.
To prove part (i), since by (23), Proposition 2 says that for .
To prove part (ii), for and , there exist and such that for , where and . Therefore, we have
which says that . This shows that for .
To prove part (iii), in order to prove another direction of inclusion, we further assume that the membership functions and of and are upper semi-continuous on , which imply that the dual membership functions and are lower semi-continuous functions on ; that is, the nonempty lower -level sets and are -closed subsets of for all . Since for , given any , we have
Since is finite, it is clear to see that
is a bounded subset of . We also see that the function is continuous on . Since the singleton set is a closed subset of , it follows that the inverse image of is also a closed subset of . This says that F is a compact subset of . Now we want to show that the function is lower semi-continuous on , i.e., we want to show that
is a closed subset of for any .
- For with , i.e., and , we havethat is a closed subset of , since and are closed subsets of and , respectively.
- If , then is a closed subset of .
- If with then or . Suppose that . Then for all . Similarly, if , then for all . Therefore we conclude that for all ,which impliesthat is also a closed subset of .
Therefore the function is indeed lower semi-continuous on . By Lemma 2, the function f assumes minimum on the compact subset F of ; that is, from (24), we have
In other words, there exists such that and
i.e., and . Therefore, we obtain and , which says that , i.e., for all . This completes the proof. □
The related results regarding the mixed lower and upper -level sets are presented below. Recall that the 0-level set is the proper domain of the membership function of .
Theorem 5.
Let and be two fuzzy sets in . Consider that the arithmetic operations correspond to the operations . Suppose that the membership functions of and are upper semi-continuous. Then we have the following results.
- If , then that is the proper domain of the membership function of .
- If , then .
- If , then
- Let . If the minimum does not exist, then . If the minimum exist, then and can be obtained from (25).
We further assume that the supports and are bounded. Then the above 0-level set can be replaced by .
Proof.
Finally, using part (iv) of Theorem 3, the 0-level set can be replaced by . This completes the proof. □
Theorem 6.
Let and be two fuzzy sets in with the dual fuzzy set and , respectively. Consider the dual arithmetic operations correspond to the operations . Suppose that the membership functions of and are upper semi-continuous on and , respectively. Then we have the following results.
- If , then .
- If , then .
- If , then
- Let . If the maximum does not exist, then . If the maximum exist, then and can be obtained from (26).
Proof.
This completes the proof. □
Example 3.
Let and be two fuzzy numbers. Then we have
Using Theorem 3, for , the upper α-level set of is given by
Now we consider the lower α-level set of . From Theorem 5, the lower 1-level set of is given by
For , we have
Suppose that we take and . Then we have
For , we have
In order to obtain a more simplified form of , we further assume that the end-points , , and are continuous on with respect to α. Therefore the endpoints and are continuous functions on with respect to β, it follows that
is an open interval. Therefore, for , we obtain
Example 4.
Let and be two fuzzy numbers with dual fuzzy set and in , respectively. According to Example 2 and (23), for , the lower α-level sets of and are nonempty and given by
Using part (iii) of Theorem 4, the lower α-level set of the dual arithmetic is given by
Using Theorem 6, for , we have
For , we can similarly show that
is an open interval. Therefore, for , we obtain
6. Conclusions
Let be a fuzzy subset of a universal set U with membership function denoted by . The conventional -level set is called the upper -level set in this paper. Therefore, we define the so-called lower -level set that is based on the 0-level set rather than on the whole universal set U. The well-known (primal) decomposition theorem given below
is based on the normality of . If is not normal, then we have
The (primal) decomposition theorem says that the membership function can be expressed in terms of upper -level sets. In this paper, we establish the so-called dual decomposition theorem by showing that the membership function can be expressed in terms of lower -level sets as shown below
by referring to Theorem 2.
On the other hand, the conventional arithmetic operation between fuzzy sets and in is defined by
for all . Using the dual membership functions, the dual arithmetic operation is defined by
Then the following interesting duality relation is established
The advantage of considering dual arithmetic is, when is easier to calculate than that of , we can just first calculate and then to recover the arithmetic by using the duality relation.
In future study, we shall apply the dual decomposition theorem and dual arithmetic of fuzzy numbers to investigate the fuzzy real analysis. We also expect to use the results obtained in this paper to study the fuzzy problems arisen from the topic of operations research, which are always used to model the engineering problems.
Funding
This research received no external funding.
Conflicts of Interest
The author declares no conflict of interest.
References
- Hong, D.H.; Do, H.Y. Additive Decomposition of Fuzzy Quantities. Inf. Sci. 1996, 88, 201–207. [Google Scholar] [CrossRef]
- Vrba, J. A Note on Inverses in Arithmetic with Fuzzy Numbers. Fuzzy Sets Syst. 1992, 50, 267–278. [Google Scholar] [CrossRef]
- Wu, H.-C. Near Fixed Point Theorems in the Space of Fuzzy Numbers. Mathematics 2018, 6, 108. [Google Scholar] [CrossRef]
- Wu, H.-C. Compatibility between Fuzzy Set Operations and Level Set Operations: Applications to Fuzzy Difference. Fuzzy Sets Syst. 2018, 353, 1–43. [Google Scholar] [CrossRef]
- Anzilli, L.; Facchinetti, G. New Definitions of Mean Value and Variance of Fuzzy Numbers: An Application to the Pricing of Life Insurance Policies and Real Options. Int. J. Approx. Reason. 2017, 91, 96–113. [Google Scholar] [CrossRef]
- Bodjanova, S. Median value and median interval of a fuzzy number. Inf. Sci. 2005, 172, 73–89. [Google Scholar] [CrossRef]
- Dubois, D.; Prade, H. The mean value of a fuzzy number. Fuzzy Sets Syst. 1987, 24, 179–300. [Google Scholar] [CrossRef]
- Wang, G.; Shi, P.; Xie, Y.; Shi, Y. Two-Dimensional Discrete Fuzzy Numbers and Applications. Inf. Sci. 2016, 32, 258–269. [Google Scholar] [CrossRef]
- Mitchell, H.B.; Schaefer, P.A. On Ordering Fuzzy Numbers. Int. J. Intell. Syst. 2000, 15, 981–993. [Google Scholar] [CrossRef]
- Yager, R.R.; Filev, D. On Ranking Fuzzy Numbers Using Valuation. Int. J. Intell. Syst. 1999, 14, 1249–1268. [Google Scholar] [CrossRef]
- Deschrijver, G. Arithmetic Operators in Interval-Valued Fuzzy Set Theory. Inf. Sci. 2007, 177, 2906–2924. [Google Scholar] [CrossRef]
- Deschrijver, G. Generalized Arithmetic Operators and Their Relationship to t-Norms in Interval-Valued Fuzzy Set Theory. Fuzzy Sets Syst. 2009, 160, 3080–3102. [Google Scholar] [CrossRef]
- Ban, A.I.; Coroianu, L. Existence, Uniqueness, Calculus and Properties of Triangular Approximations of Fuzzy Numbers under a General Condition. Int. J. Approx. Reason. 2015, 62, 1–26. [Google Scholar] [CrossRef]
- Guerra, M.L.; Stefanini, L. Approximate Fuzzy Arithmetic Operations Using Monotonic Interpolations. Fuzzy Sets Syst. 2005, 150, 5–33. [Google Scholar] [CrossRef]
- Holčapek, M.; Štěpnička, M. MI-algebras: A New Frame Work for Arithmetics of (Extensional) Fuzzy Numbers. Fuzzy Sets Syst. 2014, 257, 102–131. [Google Scholar] [CrossRef]
- Stupňanová, A. A Probabilistic Approach to the Arithmetics of Fuzzy Numbers. Fuzzy Sets Syst. 2015, 264, 64–75. [Google Scholar] [CrossRef]
- Wu, H.-C. Decomposition and Construction of Fuzzy Sets and Their Applications to the Arithmetic Operations on Fuzzy Quantities. Fuzzy Sets Syst. 2013, 233, 1–25. [Google Scholar] [CrossRef]
- Royden, H.L. Real Analysis, 2nd ed.; Macmillan: London, UK, 1968. [Google Scholar]
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