Abstract
The arithmetic operations of fuzzy sets are completely different from the arithmetic operations of vectors of fuzzy sets. In this paper, the arithmetic operations of vectors of fuzzy intervals are studied by using the extension principle and a form of decomposition theorem. These two different methodologies lead to the different types of membership functions. We establish their equivalences under some mild conditions. On the other hand, the -level sets of addition, difference and scalar products of vectors of fuzzy intervals are also studied, which will be useful for the different usage in applications.
    1. Introduction
Let  and  be two fuzzy sets in  with the membership functions  and , respectively. The arithmetic operations , ,  and  are based on the extension principle. More precisely, the membership functions are given by
      
      
        
      
      
      
      
    
      for all . In this paper, we consider the vectors of fuzzy sets in . The purpose is to study the addition, difference and scalar products of vectors of fuzzy sets.
Suppose that  and  consist of fuzzy sets in  given by
      
      
        
      
      
      
      
    
      where  and  are fuzzy sets in  for . Then, we study the addition , the difference  and the scalar product .
The addition , the difference  and multiplication  regarding the components can be realized as shown above. Let  and  be the membership functions of  and , respectively, and let ⊙ denote any one of the arithmetic operations  between  and . According to the extension principle, the membership function of  is defined by
      
      
        
      
      
      
      
    
      for all , where the arithmetic operations  correspond to the arithmetic operations . More detailed properties can refer to the monographs of Dubois and Prade [] and Klir and Yuan []. In general, we can consider the t-norms instead of minimum functions by referring to Bede and Stefanini [], Dubois and Prade [], Gebhardt [], Gomes and Barros [], Fullér and Keresztfalvi [], Mesiar [], Ralescu [], Weber [], Wu [,,] and Yager []. More precisely, the membership function of  is given by
      
      
        
      
      
      
      
    
      for all , where t is a t-norm that is a function from  into  satisfying four axioms. It is well-known that the minimum function min is a t-norm. In this paper, we consider the general aggregation function rather than using t-norms. In this case, the membership function of  is given by
      
      
        
      
      
      
      
    
      for all , where  is an aggregation function from  into  without needing to satisfy some required conditions.
According to the arithmetic operations (1), the addition , the difference  and the scalar product  can be naturally defined as follows
      
      
        
      
      
      
      
    
We can see that the scalar product  is a fuzzy set in . The membership function of  can be realized below. Let  for . The membership function of  can be obtained from (1). Therefore, the membership function of  is given by
      
      
        
      
      
      
      
    
      where  is an aggregation function from  into . In particular, the extension principle says that the aggregation function  is given by the minimum function. Therefore, the membership function of  is given by
      
      
        
      
      
      
      
    
We can see that  and  are still vectors of fuzzy sets. However, their membership functions cannot be obtained directly from (1). The main purpose of this paper is to propose two methodologies to define the membership functions of  and . Those methodologies can also be used to define the membership function of the scalar product .
Following the conventional way, we can use the extension principle to define the arithmetic operations of vectors of fuzzy sets. In this paper, we consider the general aggregation functions rather than using t-norms. We should mention that the decomposition theorem is a well-known result in fuzzy sets theory. Alternative, we also use the form of decomposition theorem to define the arithmetic operations of vectors of fuzzy intervals. These two methodologies can lead to the different types of membership functions. In this paper, we establish the equivalences between using the extension principle and the form of decomposition theorem under some mild conditions.
In Section 2, the concept and basic properties of non-normal fuzzy sets are presented. In Section 3, the arithmetic operations of vectors of fuzzy sets are presented using the extension principle based on the general aggregation functions. In Section 4, the arithmetic operations of vectors of fuzzy sets are presented using the form of decomposition theorem. In Section 5, many types of difference of vectors of fuzzy sets are proposed using the extension principle and the form of decomposition theorem, and their -level sets are studied. Their equivalences are also established under some mild conditions. In Section 6, we study the addition of vectors of fuzzy sets following the same theme from Section 5. In Section 7, the scalar product of vectors of fuzzy sets are proposed, and their -level sets are also studied.
2. Non-Normal Fuzzy Sets
Let  be a fuzzy set in  with membership function . For , the -level set of  is denoted and defined by
      
      
        
      
      
      
      
    
We remark that the -level set  can be an empty set when  is larger than the supremum of the membership function . This ambiguity will be clarified in this section. On the other hand, the support of a fuzzy set  is the crisp set defined by
      
      
        
      
      
      
      
    
The 0-level set  is defined to be the closure of the support of , i.e., .
The range of membership function  is denoted by  that is a subset of . We see that the range  can be a proper subset of  with . For example, the range  can be some disjoint union of subintervals of .
Example 1. 
The membership function of a trapezoidal-like fuzzy number is given by
      
        
      
      
      
      
    
It is clear to see that
      
        
      
      
      
      
    
Notice that if , we still can consider the -level set . Since , it is possible that the -level set  can be an empty set for some . Therefore, when we study the properties that deal with more than two fuzzy sets, we cannot simply present the properties by saying that they hold true for each , since some of the -level sets can be empty. In this case, we need to carefully treat the ranges of membership functions.
Example 2. 
Continuing from Example 1, we see that . However, we still have the -level set . It is clear to see that , where .
Let  be a real-valued function defined on , and let S be a subset of . Recall that the supremum  is attained if and only if there exists  such that  for all  with . Equivalently, the supremum  is attained if and only if
      
      
        
      
      
      
      
    
Define . If , then . If the supremum  is not attained, then . For example, assume that
      
      
        
      
      
      
      
    
It is clear to see that . In this case, the supremum  is not attained. However, we have . In this case, the 1-level set , since .
Proposition 1. 
Let  be a fuzzy set in  with membership function . Define  and
      
        
      
      
      
      
    
Then  for all  and  for all . Moreover, we have  and
      
        
      
      
      
      
    
The interval  presented in Proposition 1 is also called an interval range of . We see that the interval range  contains the actual range . The role of interval range  can be used to say  for all  and  for all . We also remark that  and  in general, since the range  can be some disjoint union of subintervals of .
Example 3. 
Continuing from Example 1, recall that . We also see that . Proposition 1 says that . It is clear to see that  for all  and  for all .
Therefore, the interval  plays an important role for considering the -level sets. In other words, the range  is not helpful for identifying the -level sets.
Recall that  is called a normal fuzzy set in  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.
Let  be a normal fuzzy set in . The well-known 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 similarly obtain the following form.
Theorem 1. (Decomposition Theorem) 
Let  be a fuzzy set in . Then the membership function  can be expressed as
      
        
      
      
      
      
    
where  is given in (3).
3. Arithmetics Using the Extension Principle
The generalized extension principle for non-normal fuzzy sets has been extensively studied in Wu []. In this paper, we use the extension principle to study the arithmetics of a vector of fuzzy intervals.
We denote by  the family of all fuzzy sets in  such that each  satisfies the following conditions.
- The membership function is upper semi-continuous and quasi-concave on .
 - The 0-level set is a compact subset of ; that is, a closed and bounded subset of .
 
Each  is also called a fuzzy interval. If the fuzzy interval  is normal and the 1-level set  is a singleton set , where , then  is also called a fuzzy number with core value a. It is well-known that the -level sets of fuzzy interval  are all closed intervals denoted by  for , which can be regarded as a closed interval with degree . This is the reason why we call  as a fuzzy interval.
Example 4. 
The membership function of a trapezoidal fuzzy interval is given by
      
        
      
      
      
      
    
which is denoted by . It is clear to see that
      
        
      
      
      
      
    
Proposition 1 says that the interval range is given by
      
        
      
      
      
      
    
If , then the α-level set . For , the α-level set  is given by
      
        
      
      
      
      
    
Let  and  be two vectors in . Then, the arithmetics of vectors  and  are given by
      
      
        
      
      
      
      
    
Let  and  be two vectors of fuzzy intervals given by
      
      
        
      
      
      
      
    
Based on the extension principle (abbreviated as EP), we study the arithmetics of  and  by considering the scalar product , the addition  and the difference . Given the aggregation function , the membership functions are defined below.
- For each , the membership function of the scalar product is given by
 - For each and for the operation corresponding to the operation , the membership function of is given by
 
If the aggregation function  is taken to be the minimum function, then the above arithmetics coincide with the extension principle.
Given any fuzzy intervals  and  in , let
      
      
        
      
      
      
      
    
      and
      
      
        
      
      
      
      
    
From Proposition 1, the interval ranges  of  and  of  are given by
      
      
        
      
      
      
      
    
      and
      
      
        
      
      
      
      
    
We also write  to denote the ranges of membership functions  for , and write  to denote the ranges of membership functions  for . Let
      
      
        
      
      
      
      
    
Example 5. 
Continuing from Example 4, we consider the following trapezoidal fuzzy intervals
      
        
      
      
      
      
    
and
      
        
      
      
      
      
    
Then, we have
      
        
      
      
      
      
    
and the interval ranges are given by
      
        
      
      
      
      
    
and
      
        
      
      
      
      
    
From (10), by taking the aggregation function  as the minimum function, we have
      
        
      
      
      
      
    
We denote by  and  the interval ranges of  and , respectively, where  and  depend on  and . The supremum of range of membership function is given by
      
      
        
      
      
      
      
    
We can similarly obtain
      
      
        
      
      
      
      
    
Therefore, the definition of interval range says that
      
      
        
      
      
      
      
    
      and
      
      
        
      
      
      
      
    
Proposition 1 says that
      
      
        
      
      
      
      
    
      and
      
      
        
      
      
      
      
    
Example 6. 
Continuing from Example 5, we take the aggregation function  as the minimum function. The membership function of scalar product  is given by
      
        
      
      
      
      
    
and it is a continuous function. Therefore, the supremum
      
        
      
      
      
      
    
is attained. This says that the interval range  of scalar product  is given
      
        
      
      
      
      
    
By considering the α-level sets, we also see that
      
        
      
      
      
      
    
and
      
        
      
      
      
      
    
The membership function of addition  is given by
      
        
      
      
      
      
    
The interval range  of addition  is given by
      
        
      
      
      
      
    
By considering the α-level sets, we also see that
      
        
      
      
      
      
    
and
      
        
      
      
      
      
    
The membership function of difference  is given by
      
        
      
      
      
      
    
The interval range  of addition  is given
      
        
      
      
      
      
    
By considering the α-level sets, we also see that
      
        
      
      
      
      
    
and
      
        
      
      
      
      
    
For further discussion, we provide a useful lemma.
Lemma 1. 
(Royden [], p. 161) Let X be a topological space, and let K be a compact subset of X. Let f be a real-valued function defined on X. Then the following statements hold true.
- (i)
 - If f is upper semi-continuous, then f assumes its maximum on a compact subset of X; that is, the supremum is attained in the following sense:
 - (ii)
 - If f is lower semi-continuous, then f assumes its minimum on a compact subset of X; that is, the infimum is attained in the following sense:
 
Proposition 2. 
Suppose that the aggregation function  is given by
      
        
      
      
      
      
    
Let
      
        
      
      
      
      
    
Then, the following statements hold true.
- (i)
 - We have
 - (ii)
 - The supremum is attained if and only if the supremum is attained, and the supremum is attained if and only if the supremum is attained.
 - (iii)
 - We have
 
Proof.  
It suffices to prove the case of , since the case of  can be similarly obtained. From (11), we have
        
      
        
      
      
      
      
    
On the other hand, from (11) again, we also have
        
      
        
      
      
      
      
    
        which proves part (i).
Suppose that the supremum  is attained. From (11), there exists  such that
        
      
        
      
      
      
      
    
Since the set  is closed and bounded, i.e., a compact set, and the functions  and  are upper semi-continuous, Lemma 1 says that the supremum in (13) is attained. In other words, there exists  such that
        
      
        
      
      
      
      
    
For convenience, we write ,  and  for . Then, from (13) and (14), we have
        
      
        
      
      
      
      
    
        and we can say that  for some . Part (i) also says that  for some . Then, using (15), we have
        
      
        
      
      
      
      
    
        which says that the supremum  is attained. Using (8) and (9), we obtain  is a closed interval, which also says that . Therefore, we conclude that the supremum  is also attained.
On the other hand, suppose that the supremum  is attained. Then, we have
        
      
        
      
      
      
      
    
        and
        
      
        
      
      
      
      
    
        which also says that the supremum  is attained; i.e., there exists  such that . By referring to (12), there exists  such that its -component is  and
        
      
        
      
      
      
      
    
        where  for . In this case, we have , which says that the supremum  is attained, which proves part (ii). Finally, part (iii) follows immediately from parts (i) and (ii). This completes the proof. □
4. Arithmetics Using the Form of Decomposition Theorem
The differentiation and integrals of fuzzy-number-valued functions using the form of decomposition theorem have been studied in Wu []. In this paper, we use the form of decomposition theorem to study the arithmetics of vector of fuzzy intervals.
Let  and  be two vectors of fuzzy intervals with components  and , respectively, for . Let
      
      
        
      
      
      
      
    
Then  is not empty, since  and  are intervals with left end-point 0 for . For each , the -level sets of  and  are nonempty and denoted by
      
      
        
      
      
      
      
    
We write
      
      
        
      
      
      
      
    
We also write
      
      
        
      
      
      
      
    
      and
      
      
        
      
      
      
      
    
In order to define the difference , we consider the family  that is formed by applying the operation  to the -level sets  and  for , where each  is a subset of . In this paper, we study three different families described below.
- We taketo define .
 - We takewhere are bounded closed intervals given byfor to define .
 - We takewhere are bounded closed intervals given byfor to define .
 
For , based on the form of decomposition theorem, the membership function of  is defined by
      
      
        
      
      
      
      
    
Example 7. 
Continuing from Example 5, we have
      
        
      
      
      
      
    
From (5), we have
      
        
      
      
      
      
    
Then we have
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
We consider three families
      
        
      
      
      
      
    given below.
- We takefor all . The membership function of is given by
 - We takewhere and are bounded closed intervals given bywhich says that is a singleton set for all . Similarly, we can obtainfor all . Therefore, we obtainfor all , which is a singleton set in . The membership function of is given by
 - We takewhere and are bounded closed intervals given byandTherefore, we obtainfor all , which is a singleton set in . The membership function of is equal to membership function of .
 
In order to define the addition , we consider the family  that is formed by applying the operation  to the -level sets  and  for , where each  is a subset of . In this paper, we study three different families described below.
- We taketo define .
 - We takewhere are bounded closed intervals given byfor to define .
 - We takewhere are bounded closed intervals given byfor to define .
 
For , based on the form of decomposition theorem, the membership function of  is defined by
      
      
        
      
      
      
      
    
Example 8. 
Continuing from Examples 5 and 7, we consider three families
      
        
      
      
      
      
    given below.
- We takefor all . The membership function of is given by
 - We takewhere and are bounded closed intervals given byfor all . We also obtainfor all . Now, we haveandTherefore, we obtainfor all . The membership function of is equal to the membership function of
 - We takewhere and are bounded closed intervals given byandTherefore, we obtainfor all . The membership function of is equal to membership function of .
 
In order to define the scalar product of  and , we consider the family  that is formed by applying the operation  to the -level sets  and  for , where each  is a subset of . In this paper, we study three different families described below.
- We taketo define the scalar product .
 - We takewhere are bounded closed intervals given byto define the scalar product .
 - We taketo define the scalar product .
 
For , based on the form of decomposition theorem, the membership function of  is defined by
      
      
        
      
      
      
      
    
Example 9. 
Continuing from Examples 5 and 7, we consider three families
      
        
      
      
      
      
    given below.
- We takefor all . The membership function of is given by
 - We takewhere is a bounded closed interval given byfor all . Therefore, we obtainThe membership function of is equal to the membership function of .
 - We takeThen, we obtainTherefore, the membership function of is equal to the membership function of .
 
We denote by  and  the interval ranges of membership functions  and  for , respectively, where  and  depends on  and . We consider the supremum of range of membership function  as follows:
      
        
      
      
      
      
    
We can similarly obtain
      
      
        
      
      
      
      
    
Therefore, the definition of interval ranges says that
      
      
        
      
      
      
      
    
      and
      
      
        
      
      
      
      
    
Proposition 1 also says that
      
      
        
      
      
      
      
    
      and
      
      
        
      
      
      
      
    
Proposition 3. 
Let  and  be fuzzy intervals. Suppose that the supremum  in (16) is attained. Then
      
        
      
      
      
      
    
Proof.  
More detailed properties will be studied separately in the sequel.
Example 10. 
Continuing from Examples 7–9, we consider the interval ranges ,  and  of ,  and , respectively. Recall that . From (23), we see that . Proposition 3 says that
      
        
      
      
      
      
    
Therefore, it follows that
      
        
      
      
      
      
    
and
      
        
      
      
      
      
    
5. Difference of Vectors of Fuzzy Intervals
Let  and  be two vectors of fuzzy intervals with components  and , respectively, for . Here we study the -level set of  that is obtained from the extension principle, and the -level sets of  for  that are obtained from the form of decomposition theorem.
5.1. Using the Extension Principle to Study the -Level Sets of
Given any aggregation function , recall that the membership function of difference  is defined by
        
      
        
      
      
      
      
    
        for any . Let  be the interval range of . The -level set  of  for  can be obtained by applying the results obtained in Wu [] to the difference , which is shown below. For each  with , we have
        
      
        
      
      
      
      
    
The 0-level set is given by
        
      
        
      
      
      
      
    
Moreover, for each , the -level sets  are closed and bounded subsets of .
Now, the aggregation function  is given by
        
      
        
      
      
      
      
    
Proposition 2 says that . Therefore, for each , we have ,  and  for all . Now, for each  with , using (27), we have
        
      
        
      
      
      
      
    
Regarding the components  and , let  be the interval range of . From Proposition 2, we can similarly obtain . For , we also have
        
      
        
      
      
      
      
    
The above results are summarized in the following theorem.
Theorem 2. 
Let  and  be any fuzzy intervals. Suppose that the aggregation function  is given by
      
        
      
      
      
      
    
Then, we have the following results.
- (i)
 - Let be the interval range of for . Then, for each , we haveWe also have .
 - (ii)
 - Let be the interval range of . We haveFor each , we also haveand
 
Remark 1. 
When  and  are taken to be fuzzy numbers instead of fuzzy intervals, it follows that
      
        
      
      
      
      
    
Therefore, Theorem 2 says that
      
        
      
      
      
      
    
for all .
Example 11. 
Continuing from Examples 5 and 7, Theorem 2 says that
      
        
      
      
      
      
    and
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
for . Moreover, we have  for .
5.2. Using the Form of Decomposition Theorem to to Study the -Level Sets of
Let  and  be fuzzy intervals. The family  is given by
        
      
        
      
      
      
      
    
We see that  and  for each  and for . Now, for  with , we have
        
      
        
      
      
      
      
    
Based on the form of decomposition theorem, the membership function of  is given by
        
      
        
      
      
      
      
    
Let  be the interval range of . The -level sets  of  for  are presented below.
Proposition 4. 
Suppose that the supremum  is attained. Then  and
      
        
      
      
      
      
    
for each .
Proof.  
We first consider  with . Given any , we see that  by (31). Therefore, we obtain , which proves the inclusion .
For proving another direction of inclusion, it is clear to see that  is a nested family. Given any , i.e., , let . Assume that . Let . According to the concept of supremum, there exists  satisfying  and , which implies . This also says that , since  by the nestedness.
Now, we assume that . Since  is an interval with left end-point 0, given any  with , we can consider the sequence  in  satisfying  with  for all s. Since  and  are fuzzy intervals for , it is well-known that
          
      
        
      
      
      
      
    
Since
          
      
        
      
      
      
      
    
          we can obtain
          
      
        
      
      
      
      
    
Since , we conclude that
          
      
        
      
      
      
      
    
Let . According to the concept of supremum, there exists  satisfying  and , which implies . This also says that  by the nestedness for all s. Therefore, we conclude that . From (33), it follows that . Therefore, for  with , we obtain
          
      
        
      
      
      
      
    
For the 0-level set, since  from Proposition 3, by referring to (4), it is not difficult to show that
          
      
        
      
      
      
      
    
This completes the proof. □
Now, for  and for  with , we take
        
      
        
      
      
      
      
    
From (30), we see that
        
      
        
      
      
      
      
    
Let  be obtained using the form of decomposition theorem based on the family  that is defined in (34). Let  be the interval range of . Suppose that the supremum  is attained for each . Then each  is a bounded and closed interval with left end-point 0 for . In this case, it is also clear to see that  is a bounded and closed interval with left end-point 0; that is, the supremum  is also attained. By referring to Proposition 4, we can similarly obtain  and
        
      
        
      
      
      
      
    
        for  and , which also implies
        
      
        
      
      
      
      
    
        for each . The above results are summarized below.
Theorem 3. 
Let  and  be fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    
Let  be the interval range of , and let  be the interval range of  for .
- (i)
 - Suppose that the supremum is attained. Then andfor each .
 - (ii)
 - Suppose that the supremum is attained for each . Thenfor each and each , andfor each .
 
Remark 2. 
Example 12. 
Continuing from Example 7, part (i) of Theorem 3 says that
      
        
      
      
      
      
    
for . Moreover, we have  for .
5.3. Using the Form of Decomposition Theorem to to Study the -Level Sets of
Let  and  be any fuzzy intervals. The family  is given by
        
      
        
      
      
      
      
    
        and
        
      
        
      
      
      
      
    
        where  are bounded closed intervals given by
        
      
        
      
      
      
      
    
        for . Based on the form of decomposition theorem, the membership function of  is given by
        
      
        
      
      
      
      
    
Let  be the interval range of . Here we study the -level sets  of  for .
For , we write
        
      
        
      
      
      
      
    
It is clear to see that  is a nested family. Since  is a bounded interval with left end-point 0, using the nestedness, we can show that
        
      
        
      
      
      
      
    
From (37), we also see that
        
      
        
      
      
      
      
    
Using (38), we can also obtain
        
      
        
      
      
      
      
    
Suppose that the supremum  is attained. By applying (39) to the argument in the proof of Proposition 4, we can show that  and
        
      
        
      
      
      
      
    
        for any .
Now, we consider the difference  of components  and  for . Using the form of decomposition theorem, the membership function of  is defined by
        
      
        
      
      
      
      
    
Let  be the interval range of . We also study the -level sets  of  for . Suppose that the supremum  is attained. Using the argument in the proof of Proposition 4 again, we can obtain  and
        
      
        
      
      
      
      
    
        for any .
In order to obtain the compact form of the -level sets, we propose a concept below.
Definition 1. 
We say that  is a canonical fuzzy interval if and only if  is a fuzzy interval such that  and  are continuous with respect to α on .
Now, we assume that  and  are any canonical fuzzy intervals. Let
        
      
        
      
      
      
      
    
Then .
We also see that  and  are continuous functions on . Then, for  with , we can obtain
        
      
        
      
      
      
      
    
The above results are summarized below.
Theorem 4. 
Let  and  be any fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    and
      
        
      
      
      
      
    where  are bounded closed intervals given by
      
        
      
      
      
      
    for . Let  be the interval range of , and let  be the interval range of  for .
- (i)
 - Suppose that the supremum is attained. Then andfor each .
 - (ii)
 - Suppose that the supremum is attained for each . Thenfor each and each , andfor each .
 
Assume that  and  are canonical fuzzy intervals. Then, for , we have
      
        
      
      
      
      
    that are bounded and closed intervals.
Example 13. 
Continuing from Example 7 by referring to (20), part (i) of Theorem 4 says that
      
        
      
      
      
      
    
for . Moreover, we have  for .
5.4. Using the Form of Decomposition Theorem to Study the -Level Sets of
Let  and  be any fuzzy intervals. The family  is given by
        
      
        
      
      
      
      
    
        and
        
      
        
      
      
      
      
    
        where  are bounded closed intervals given by
        
      
        
      
      
      
      
    
        for . Based on the form of decomposition theorem, the membership functions of  and  for  are given by
        
      
        
      
      
      
      
    
        for any  and
        
      
        
      
      
      
      
    
        for any , respectively. Let  and  be the interval ranges of  and , respectively, for . Herein we study the -level sets  of  for , and the -level sets  of  for . We first provide some useful lemmas.
Lemma 2. 
Let I be a closed subinterval of  given by  for some . Let  and  be two bounded real-valued functions defined on I with  for each . Suppose that the following conditions are satisfied:
- is an increasing function and is a decreasing function on I;
 - and are left-continuous on .
 
Let  for . For any fixed , the function
      
        
      
      
      
      
    is upper semi-continuous on I.
Lemma 3. 
Let I be a closed subinterval of  given by  for some . For each , let  and  be bounded real-valued functions defined on I with  for each . Suppose that the following conditions are satisfied:
- are increasing function and are decreasing function on I for ;
 - and are left-continuous on for .
 
Let  for  and for , and let . For any fixed , the following function
      
        
      
      
      
      
    is upper semi-continuous on I.
Proof.  
Lemma 2 says that the functions
          
      
        
      
      
      
      
    
          are upper semi-continuous on I for . For , we define the sets
          
      
        
      
      
      
      
    
The upper semi-continuity of  says that  is a closed set for . For , we want to claim . Given any , it follows that  and , i.e.,  and  for , which also implies  for . Therefore, we obtain the inclusion . On the other hand, suppose that  for . It follows that  and  for ; i.e.,  and . Therefore, we obtain the equality , which also says that  is a closed set, since each  is a closed set for . For , it is clear to see that  is a closed subinterval of . Therefore, we conclude that  is indeed upper semi-continuous on I. This completes the proof. □
Now, we assume that the supremum  is attained. Then  is a bounded closed interval with  by referring to Proposition 3. We also assume that  and  are canonical fuzzy intervals. Under these assumptions, we claim
        
      
        
      
      
      
      
    
Let
        
      
        
      
      
      
      
    
Then . We also see that  and  are continuous functions on . Using Lemmas 2 and 3, given any fixed , the functions
        
      
        
      
      
      
      
    
        and
        
      
        
      
      
      
      
    
        are upper semi-continuous on  for .
Given any  with , suppose that  and  for all  with . Then  for all . Since  is a bounded closed interval, i.e., a compact set, and  is upper semi-continuous on  as described above, the supremum of the function  is attained by Lemma 1. This says that
        
      
        
      
      
      
      
    
        for some , which violates . Therefore, there exists  with  satisfying , which shows the following inclusion:
      
        
      
      
      
      
    
On the other hand, the inclusion
        
      
        
      
      
      
      
    
        is obvious. This shows (40).
Suppose that the supremum  is attained. Then  is also a bounded closed interval. Therefore, we can similarly obtain  and
        
      
        
      
      
      
      
    
The above results are summarized below.
Theorem 5. 
Let  and  be canonical fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    and
      
        
      
      
      
      
    where  are bounded closed intervals given by
      
        
      
      
      
      
    for . Let  be the interval range of , and let  be the interval range of  for .
- (i)
 - Suppose that the supremum is attained. Then andfor each with , and the 0-level set
 - (ii)
 - Suppose that the supremum is attained for each . Thenfor each with and each . The 0-level set isMoreover, for , we havewhich are bounded and closed intervals.
 
Remark 3. 
We remark that, in general, we cannot have the following equality:
      
        
      
      
      
      
    
When  and  are taken to be canonical fuzzy numbers instead of canonical fuzzy intervals, it follows that
      
        
      
      
      
      
    
Then, we can have the following equality:
      
        
      
      
      
      
    
Example 14. 
Continuing from Example 7 by referring to (21), we have . Part (i) of Theorem 5 says that
      
        
      
      
      
      
    
for . Moreover, we have  for .
5.5. The Equivalences and Fuzziness
Next, we present the equivalences between  and  in Theorems 2 and 3, respectively.
Theorem 6. 
Let  and  be any fuzzy intervals. Suppose that  and  are obtained from Theorems 2 and 3, respectively. We also assume that the supremum  is attained. Then
      
        
      
      
      
      
    
Moreover, for , we have
      
        
      
      
      
      
    
Proof.  
From Propositions 3 and 2, we have . The equality (41) follows immediately Theorems 2 and 3, which also says that . This completes the proof. □
We are not able to study the equivalences among ,  and . However, we can study their fuzziness by considering the -level sets. The formal definition regarding the fuzziness is given below.
Definition 2. 
Let  and  be two fuzzy intervals with interval ranges  and , respectively. We say that  is fuzzier than  if and only if  and  for all  with .
Suppose now that we plan to collect  real number data  in . Owing to the unexpected situation, we cannot exactly obtain the desired data. Instead, we can just obtain the fuzzy data  that can be described by some suitable membership functions. Now, we have two ways to calculate the difference between  and . One is based on the extension principle to obtain , and another one is based on the form of decomposition theorem to obtain  for . We claim that  is fuzzier than . In other words, we prefer to take , which has less fuzziness.
Let  and  be canonical fuzzy intervals, and let  and  be obtained from Theorems 4 and 5, respectively. Suppose that the supremum  is attained. Then we have
        
      
        
      
      
      
      
    
For each  with , we also have
        
      
        
      
      
      
      
    
        and
        
      
        
      
      
      
      
    
Since the inclusion
        
      
        
      
      
      
      
    
        is obvious, it follows that
        
      
        
      
      
      
      
    
        which says that  is fuzzier than .
On the other hand, from Theorems 6 and 4, we have
        
      
        
      
      
      
      
    
For each  with , we also have
        
      
        
      
      
      
      
    
It follows that
        
      
        
      
      
      
      
    
        which says that  is fuzzier than . The above results are summarized below.
Theorem 7. 
Let  and  be canonical fuzzy intervals. Suppose that , ,  and  are obtained from Theorem 2, Theorem 3, Theorem 4 and Theorem 5, respectively. We also assume that the supremum  is attained. Then
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
for each . In other words,  is fuzzier than , and  is fuzzier than .
Remark 4. 
Theorem 7 says that, when  and  are taken to be canonical fuzzy intervals, we may prefer to pick  that has less fuzziness in applications.
6. Addition of Vectors of Fuzzy Intervals
Let  and  be two vectors of fuzzy intervals with components  and , respectively, for . Next we study the -level set of  that is obtained from the extension principle, and the -level sets of  for  that are obtained from the form of decomposition theorem.
6.1. Using the Extension Principle to Study the -Level Sets of
Given any aggregation function , the membership function of addition  is defined by
        
      
        
      
      
      
      
    
        for any . Let  be the interval range of . The -level set  of  for  can be obtained by applying the results obtained in Wu [] to the addition , which is shown below. For each  with , we have
        
      
        
      
      
      
      
    
The 0-level set is given by
        
      
        
      
      
      
      
    
Moreover, for each , the -level sets  are closed and bounded subsets of .
When the aggregation function  is given by
        
      
        
      
      
      
      
    
Proposition 2 says that . Therefore, for each , we have ,  and  for all . Now, for each  with , using (42), we have
        
      
        
      
      
      
      
    
Regarding the components  and , let  be the interval range of . From Proposition 2, we can similarly obtain , and, for each , we also have
        
      
        
      
      
      
      
    
The above results are summarized in the following theorem.
Theorem 8. 
Let  and  be fuzzy intervals. Suppose that the aggregation function  is given by
      
        
      
      
      
      
    
Then, we have the following results.
- (i)
 - Let be the interval range of for . For each , we haveWe also have .
 - (ii)
 - Let be the interval range of . We haveFor each , we also haveand
 
Example 15. 
Continuing from Examples 5 and 7, part (ii) of Theorem 8 says that
      
        
      
      
      
      
    and
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
for . Moreover, we have  for .
6.2. Using the Form of Decomposition Theorem to Study the -Level Sets
Let  and  be fuzzy intervals. The family  is given by
        
      
        
      
      
      
      
    
Since  and  for  and , given any  with , we have
        
      
        
      
      
      
      
    
Based on the form of decomposition theorem, the membership function of  is given by
        
      
        
      
      
      
      
    
Let  be the interval range of . Suppose that the supremum  is attained. Using the similar argument in the proof of Proposition 4, we can obtain  and the -level sets  of  are given by
        
      
        
      
      
      
      
    
        for .
Now, for  and for  with , we take
        
      
        
      
      
      
      
    
Then, for , from (45), we see that
        
      
        
      
      
      
      
    
Let  be obtained using the form of decomposition theorem based on the family
        
      
        
      
      
      
      
    
        that is defined in (47). Let  be the interval range of . Suppose that the supremum  is attained for each . Then the supremum  is also attained. For , we can similarly obtain  and
        
      
        
      
      
      
      
    
        which also implies
        
      
        
      
      
      
      
    
The above results are summarized below.
Theorem 9. 
Let  and  be fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    
Let  be the interval range of , and let  be the interval range of  for .
- (i)
 - Suppose that the supremum is attained. Then andfor each . Moreover, we havewhere is obtained from Theorem 8.
 - (ii)
 - Suppose that the supremum is attained for each . Thenfor each and each , andfor each .
 
Next, we study the addition  by considering a family that has the same form of Theorem 4. We first need a useful property given below.
Lemma 4. 
Let  be a fuzzy interval with interval range . Then the function  is lower semi-continuous on , and the function  is upper semi-continuous on .
Theorem 10. 
Let  and  be fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    and
      
        
      
      
      
      
    where  are bounded closed intervals given by
      
        
      
      
      
      
    
for . Then
      
        
      
      
      
      
    
If we further assume that the supremum  is attained, then
      
        
      
      
      
      
    
Proof.  
Let  and . Then . Lemma 4 say that  is lower semi-continuous on  and  is upper semi-continuous on . Then, for  with , we can obtain
          
      
        
      
      
      
      
    
Next, we study the addition  by considering a family that has the same form of Theorem 5. However, in this case, we need to consider the canonical fuzzy intervals rather than the fuzzy intervals.
Theorem 11. 
Let  and  be canonical fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    and
      
        
      
      
      
      
    where  are bounded closed intervals given by
      
        
      
      
      
      
    for . Suppose that the supremum  is attained. Then
      
        
      
      
      
      
    
Proof.  
For each , it is clear to see that
          
      
        
      
      
      
      
    
Since the supremum  is attained, for each  with , using the similar argument of Theorem 5, we can obtain
          
      
        
      
      
      
      
    
This completes the proof. □
We remark that Theorem 11 needs to consider the canonical fuzzy intervals rather than the fuzzy intervals, and assume that the supremum  is attained.
Remark 5. 
When  and  are taken to be canonical fuzzy numbers instead of canonical fuzzy intervals, it follows that
      
        
      
      
      
      
    
which also says that the supremum  is attained. Therefore, the above theorems are applicable.
Example 16. 
Using Theorem 11 and Example 15, we see that
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
7. Scalar Product of Vectors of Fuzzy Intervals
In the sequel, we are going to use the extension principle by referring to (6) to study the scalar product , and use the form of decomposition theorem by referring to (22) to study the scalar product .
7.1. Using the Extension Principle
Given any aggregation function , the membership function of scalar product  is defined by
        
      
        
      
      
      
      
    
        for any . Let  be the interval range of . The -level set  of  for  can be obtained by applying the results obtained in Wu [] to the scalar product , which is shown below. For each  with , we have
        
      
        
      
      
      
      
    
The 0-level set is given by
        
      
        
      
      
      
      
    
Moreover, for each , the -level sets  are closed and bounded subsets of .
Now, the aggregation function  is given by
        
      
        
      
      
      
      
    
Proposition 2 says that . Therefore, for each , we have ,  and  for all . Now, for each  with , using (49), we have
        
      
        
      
      
      
      
    
        where  and  are given in (18) and (19). For the 0-level set, from (50) and (4), it is not difficult to show that
        
      
        
      
      
      
      
    
Definition 3. 
Let  be a fuzzy set in  with membership function . We say that  is nonnegative when  for each .
It is clear to see that a fuzzy interval  is nonnegative if and only if  for each . Suppose that  and  are nonnegative fuzzy intervals. Then
        
      
        
      
      
      
      
    
The above results are summarized in the following theorem.
Theorem 12. 
Let  and  be any fuzzy intervals. Suppose that the aggregation function  is given by
      
        
      
      
      
      
    
Example 17. 
Continuing from Examples 5 and 7, Theorem 12 says that we need to calculate
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
In other words, given any fixed , we want to calculate
      
        
      
      
      
      
    
Since , the minimum is
      
        
      
      
      
      
    and the maximum is
      
        
      
      
      
      
    
Therefore, Theorem 12 says that
      
        
      
      
      
      
    
for . Moreover, we have  for .
7.2. Using the Form of Decomposition Theorem
Let  and  be fuzzy intervals. The family  is given by
        
      
        
      
      
      
      
    
        and
        
      
        
      
      
      
      
    
Since  and  for  and , given any  with , we have
        
      
        
      
      
      
      
    
Based on the form of decomposition theorem, the membership function of  is given by
        
      
        
      
      
      
      
    
Let  be the interval range of . Suppose that the supremum  is attained. Using the similar argument in the proof of Proposition 4, we can obtain  and the -level sets  of  is given by
        
      
        
      
      
      
      
    
        for . The above results are summarized below.
Theorem 13. 
Let  and  be any fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    
We also assume that the supremum  is attained. Then , and, for , we have
      
        
      
      
      
      
    
When  and  are taken to be nonnegative fuzzy intervals, we have
      
        
      
      
      
      
    
Example 18. 
By referring to Example 17, Theorems 12 and 13 say that
      
        
      
      
      
      
    
for . Moreover, we have  for .
Next, we study the scalar product  by considering a different family that has the similar form of Theorem 4. Recall that  is a canonical fuzzy interval in a universal set U if and only if  is a fuzzy interval such that  and  are continuous with respect to  on .
Theorem 14. 
Let  and  be canonical fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    where  is a bounded closed interval given by
      
        
      
      
      
      
    
We also assume that the supremum  is attained. Then , and, for , we have
      
        
      
      
      
      
    
When  and  are taken to be nonnegative canonical fuzzy intervals, we have
      
        
      
      
      
      
    
Proof.  
We define two functions  and  on  as follows:
          
      
        
      
      
      
      
    
Then  and  are continuous on , since we consider the canonical fuzzy intervals. We also see that . Using the similar argument of Theorem 4, we can obtain , and, for , we also have
          
      
        
      
      
      
      
    
This completes the proof. □
Example 19. 
Continuing from Examples 5 and 7, we can obtain
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
Using (51), we have
      
        
      
      
      
      
    
for . Moreover, we have  for .
Theorem 15. 
Let  and  be any canonical fuzzy intervals. Suppose that the family  is given by
      
        
      
      
      
      
    and
      
        
      
      
      
      
    
We also assume that the supremum  is attained. Then , and, for , we have
      
        
      
      
      
      
    
When  and  are taken to be nonnegative canonical fuzzy intervals, we have
      
        
      
      
      
      
    
Proof.  
Using the similar argument of Theorem 5, we can obtain . For , we also have
          
      
        
      
      
      
      
    
By referring to (52), we complete the proof. □
Example 20. 
By referring to Example 19, Theorems 14 and 15 say that
      
        
      
      
      
      
    
for . Moreover, we have  for .
7.3. The Equivalences and Fuzziness
Next, we present the equivalences among  and  for .
Theorem 16. 
Let  and  be fuzzy intervals. Suppose that  and  are obtained from Theorems 12 and 13, respectively. We also assume that the supremum  is attained. Then
      
        
      
      
      
      
    
Moreover, for , we have
      
        
      
      
      
      
    
Theorem 17. 
Let  and  be canonical fuzzy intervals. Suppose that  and  are obtained from Theorems 14 and 15, respectively. We also assume that the supremum  is attained. Then
      
        
      
      
      
      
    
Moreover, for , we have
      
        
      
      
      
      
    
Theorem 18. 
Let  and  be nonnegative canonical fuzzy intervals. Suppose that , ,  and  are obtained from Theorem 12, Theorem 13, Theorem 14 and Theorem 15, respectively. We also assume that the supremum  is attained. Then
      
        
      
      
      
      
    
Moreover, for , we have
      
        
      
      
      
      
    
The equivalence between  and  cannot be guaranteed. The following theorem compares their fuzziness.
Theorem 19. 
Let  and  be canonical fuzzy intervals. Suppose that  and  are obtained from Theorems 13 and 14, respectively. We also assume that the supremum  is attained. Then  and  is fuzzier than .
Proof.  
For  with , it is clear to see that
          
      
        
      
      
      
      
    
          and
          
      
        
      
      
      
      
    
From Theorems 16 and 17, we obtain
          
      
        
      
      
      
      
    
          for each  with , which says that  is fuzzier than . This completes the proof. □
Funding
This research received no external funding.
Conflicts of Interest
The author declares no conflict of interest.
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