2. Fuzzy Sets and Extended Metrics on Them
In this section, we review some basic concepts and fundamental conclusions of fuzzy sets and the extended metrics on them. For fuzzy theory and applications, we refer the readers to [
1,
2,
3,
4,
6,
8,
9,
13,
14,
15,
16,
17,
18].
Let be the set of all positive integers and let be the m-dimensional Euclidean space. is also written as .
Let Y be a nonempty set. The symbol denotes the power set of Y, which is the set of all subsets of Y. The symbol denotes the set of all fuzzy sets in Y, i.e., functions from Y to . Given and , the -cut of u is defined by .
Let Y be a topological space. The symbol denotes the set of all nonempty closed subsets of Y. denotes the set of all nonempty compact subsets of Y. For , the 0-cut of u is defined by , where denotes the topological closure of S in Y. is called the support of u, and is also denoted by supp u.
Let
Y be a nonempty set. For
, define
where
is well-defined if and only if
Y is a topological space.
and
are called the endograph and the sendograph of
u, respectively. Clearly
.
Throughout this paper, we suppose that Xis a nonempty set and it is equipped with a metric d. For simplicity, we also use X to denote the metric space .
Let
be a metric space. We use
to denote the
Hausdorff extended metric on
induced by
d, i.e.,
for arbitrary
, where
For simplicity, we often refer to both the Hausdorff extended metric and the Hausdorff metric as the Hausdorff metric. See also Remark 2.5 of [
10].
Let
and
be two intervals. Then
The metric on is defined as follows: for , If there is no confusion, we also use H to denote the Hausdorff extended metric on induced by .
Let
denote the set of all upper semi-continuous fuzzy sets in
X; that is,
Define
Clearly
The supremum distance
, the sendograph distance
and the endograph distance
on
are defined as follows, respectively. For each
,
where
H in the definition of
denotes the Hausdorff extended metric on
induced by
d, and
H in the definitions of
and
denote the Hausdorff extended metric on
induced by
.
The sendograph metric
was introduced by Kloeden [
19]. Each one of
and
on
is an extended metric but does not need to be a metric.
on
is a metric. See also Remark 2.7 of [
10].
The
-type
distance,
, of each
is defined by
where
is well-defined if and only if
is a measurable function of
on
.
We suppose that, in the sequel, “p” which appears in mathematical expressions such as , etc., is an arbitrary number satisfying .
For some metric spaces
Y,
distances could be not well-defined on
(see Example 3.25 of [
10]). So the following
extended metrics on
are introduced in [
20]. For each
,
Theorem 2.1. [10,11,20] Let .
(i) .
(ii) .
(iii) .
(iv) If is well-defined, then .
(v) If , then is well-defined; so .
(vi) If , then in (ii) and (iii) can be replaced by .
Proof. Clearly (i) holds. (i) may be a known conclusion. ((i) is (1) of [
11]. The inequality at the end of Paragraph 2 in Page 2527 of [
21] is this kind of conclusions.). (ii) is (13) of [
11]. (iii) is Proposition 4.9(i) of [
10]. (iv) is given in Remark 3.2 of [
20]. (iv) is obvious. A routine proof of (iv) is given below.
Suppose that is well-defined; that is, is a measurable function of on . Put . Then the function of on belongs to S. Hence we have (a) . On the other hand, for each , as for all . Thus we obtain (b) . So .
Theorem 3.8 of [
10] says that if
, then
is well-defined. Obviously, by this and (iv), we obtain that if
, then
. So (v) holds. (vi) follows immediately from (v).
□
Let Y be a nonempty set, Z a subset of Y, and and two extended metrics on Y. We say that is stronger than on Z, denoted by , if for each sequence in Z and each , implies that .
is stronger than on Z is also known as is weaker than on Z and written as . is said to be equivalent to on Z, denoted by , if and .
The expression , where S is a set of extended metrics on Y, means that for each , .
Theorem 2.2. [11] .
Proof. By Theorem 2.1(i),
. By Theorem 2.1(ii),
. By Theorem 2.1(iii),
. Theorem 6.2 of [
11] also says that
. So this theorem is indeed given in [
11].
□
By Theorems 2.2 and 2.1(v), we have the following conclusion.
Corollary 2.3. [10,11,20] .
, , and are metrics on .
The corresponding author of this paper independently gave
Section 2.
3. Triangular Fuzzy Numbers and Trapezoidal Fuzzy Numbers
In this section, we review some basic concepts and properties related to the triangular fuzzy numbers and the trapezoidal fuzzy numbers.
Usually, the symbols with in represent the elements in and the symbols with in represent the elements in . In this paper, for each in , we use instead of to represent the corresponding element in , and use instead of to represent the corresponding element in .
We use T to denote the set and to denote the set . Clearly .
We use G to denote the set and to denote the set . Clearly .
Definition 3.1. We use
Tag to denote the set of all regular triangular fuzzy numbers.
, where, for any
in
, the regular triangular fuzzy number
is defined to be the fuzzy set
u in
given by
Definition 3.2. We use
Tap to denote the set of all regular trapezoidal fuzzy numbers.
, where, for any
in
, the regular trapezoidal fuzzy number
is defined to be the fuzzy set
u in
given by
Remark 3.3. (i) u ∈ Tag means that there is an [a, b, c] ∈ G0 satisfying u = (a, b, c). (ii) u ∈ Tap means
that there is an [a, b, c, d] ∈ T0 satisfying u = (a, b, c, d). (iii) Each regular triangular fuzzy number
(a, b, c) is the regular trapezoidal fuzzy number (a, b, b, c). So Tag ⊆ Tap.
We say that two fuzzy sets are equal if they have the same membership function.
Definition 3.4.
We use Trag to denote the set of all triangular fuzzy numbers. , where, for any in G, the triangular fuzzy number is defined to be the fuzzy set u in in the following way:
Clearly each in Tag is the in Trag. This means that the concept of triangular fuzzy numbers is a kind of generalization of the concept of regular triangular fuzzy numbers. Hence Tag ⊆ Trag.
Definition 3.5.
We use Trap to denote the set of all trapezoidal fuzzy numbers. , where, for any in T, the trapezoidal fuzzy number is defined to be the fuzzy set u in in the following way:
Clearly each in Tap is the in Trap. This means that the concept of trapezoidal fuzzy numbers is a kind of generalization of the concept of regular trapezoidal fuzzy numbers. Hence Tap ⊆ Trap.
Remark 3.6. (i) Trag means that there is an satisfying . (ii) Trap means that there is an satisfying .
Remark 3.7. Each triangular fuzzy number is the trapezoidal fuzzy number . So Trag ⊆ Trap.
The readers may also refer to the corresponding contents in [
22] for details.
4. Some Properties of Trapezoidal Fuzzy Numbers and Triangular Fuzzy numbers
In this section, we recall and give some properties of the trapezoidal fuzzy numbers and triangular fuzzy numbers. These properties are useful to obtain and understand the main results of this paper.
The following Propositions 4.1 and 4.2 should be known. See [
5] and related works. Clearly, Proposition 4.2 is a corollary of Proposition 4.1.
Proposition 4.1.
Let and Trap. Then if and only if
Proposition 4.2. Let and Trag. Then if and only if .
For any and in , means that , , and . For any and in Trap, means that and are the same fuzzy set.
For any and in , means that , and . For any and in Trag, means that and are the same fuzzy set.
The following Theorem 4.3(ii) states the representation uniqueness of the trapezoidal fuzzy numbers.
Theorem 4.3. (i) Let be in Trap. Then and . (ii) Let and be in Trap. Then if and only if . (iii) Let be in Tap. Then and . (iv) Let and be in Tap. Then if and only if .
Proof. By Definition 3.5 and easy calculations, we obtain (i). (One way to perform these calculations are to do it based on watching the graphs of the membership functions of in the four cases , , and .) (i) follows immediately from Proposition Proposition 4.1.
Now we show (ii). If , i.e. and , then, by Definition 3.5, .
Suppose that . Then and . By (i), this means that and . This is equivalent to , , and ; that is, . So (ii) is proved.
As Tap is a subset of Trap, (iii) follows immediately from (i), and (iv) follows immediately from (ii). (iii) is easy and should be known.
□
Proposition 4.4(ii) gives the representation uniqueness of the triangular fuzzy numbers.
Proposition 4.4. (i) Let be in Trag. Then and . (ii) Let and be in Trag. Then if and only if . (iii) Let be in Tag. Then and . (iv) Let and be in Tag. Then if and only if .
Proof. By Definition 3.4 and easy calculations, we obtain (i). (One way to perform these calculations are to do it based on watching the graphs of the membership functions of in the four cases , , and .) (i) follows immediately from Proposition 4.2.
Now we show (ii). If , i.e. , and , then, by Definition 3.4, .
Suppose that . Then and . By (i), this means that and . This is equivalent to , and ; that is, . So (ii) is proved.
As Tag is a subset of Trag, (iii) follows immediately from (i), and (iv) follows immediately from (ii). (iii) is easy and should be known.
□
The above proofs of Theorem 4.3 and Proposition 4.4 are similar. Clearly for
k=i, ii, iii, iv, Proposition 4.4(k) is a corollary of Theorem 4.3(k) (see also Remark 4.3 in [
22] for details).
We know that Tag ⊆ Trag, Tap ⊆ Trap, Tag ⊆ Tap, and Trag ⊆ Trap (see
Section 3). Based on Theorem 4.3(ii) and Proposition 4.4(ii), it is easy to see that Tag ⫋ Trag, Tap ⫋ Trap, Tag ⫋ Tap, and Trag ⫋ Trap. (see also Remarks 4.7 and 4.8 in [
22] for details.)
Define
Clearly
,
and
.
For , we call u a 1-dimensional compact fuzzy number if u has the following properties:
(i) ; and
(ii) for each , is a compact interval of .
The set of all 1-dimensional compact fuzzy numbers is denoted by E. For and , is denoted by .
Let
Trap. Denote
. By Proposition 4.1,
and for each
,
is a compact interval of
. Also
. Thus
. So Trap
. Clearly Trap
(see also [
25]), and
. So Trap
, and then, by Corollary 2.3, we have that
Corollary 4.5. [10,11,20] .
As Trap is a quite obvious fact and this fact should be known, we think it is reasonable to cite Corollary 2.3 when we use the fact given in Corollary 4.5.
5. Main Results
In this section, we show the equivalence of the four common types of metrics , , and are equivalent on the trapezoidal fuzzy numbers. We do this by verifying that the convergence induced by these metrics is the convergence of the corresponding representation quadruples of the trapezoidal fuzzy numbers in .
First we give a characterization of the supremum metric on Trap.
Lemma 5.1. Let and be two trapezoidal fuzzy numbers.
(i) .
(ii) .
(iii) .
Proof. Set
and
. Notice that for each
,
Thus
. On the other hand, since
and
, we have that
. So
. Hence (i) is proved.
The proof of (ii) is similar to that of (i). Notice that for each
,
Thus
. On the other hand, since
and
, we have that
. So
. Hence (ii) is proved.
Note that
So (iii) is proved.
(I) In this paper, we often use (
2) without citing since it is easy to see.
□
Remark 5.2. Let Trap. Then . Thus , , and . Hence “⇒” of Theorem 4.3(ii) holds. “⇐” of Theorem 4.3(ii) holds obviously. So Lemma 5.1(iii) implies Theorem 4.3(ii). As Proposition 4.4(ii) is a corollary of Theorem 4.3(ii), Lemma 5.1(iii) also implies Proposition 4.4(ii).
By Remark 3.7, Lemma 5.1(iii) implies (a) for each and in Trag, . Clearly, (a) implies Proposition 4.4(ii).
Remark 5.3. The conclusions in this remark are easy to see. The symbols in this remark are consistent with those in the proof of Lemma 5.1.
(i) .
(ii) .
(iii) (iii-1) (a) If , then
(b) If , then .
(iii-2) If , then and .
(iii-3) If , then and .
(iii-4) If , then and .
(iv) .
Note that or . Combining this and Lemma 5.1(i) yields that the supremum in (i) is attainable; that is, this supremum can be replaced by maximum. Hence (i) holds.
Note that or . Combining this and Lemma 5.1(ii) yields that the supremum in (ii) is attainable. Hence (ii) holds.
Note that . So if , then , and hence this supremum is attainable. Thus (iii-1)(a) holds.
Note that . So if , then , and hence this supremum is attainable. Thus (iii-1)(b) holds. So (iii-1) is proved. The proof of any of (iii-2), (iii-3) and (iii-4) is similar to that of (iii-1).
By Lemma 5.1(iii), is equal to some of , , and . So, by (iii), (iv) is true.
Lemma 5.4. Let be a sequence of trapezoidal fuzzy numbers and a trapezoidal fuzzy number. Then the following three statements are equivalent: (i) ; (ii) ; (iii) , , and .
Proof. By Lemma 5.1(iii), (i)⇔(ii). Clearly (ii)⇔(iii). So the statements (i), (ii) and (iii) are equivalent.
□
Theorem 5.5. Let be a sequence of trapezoidal fuzzy numbers and a trapezoidal fuzzy number. Then the following statements are equivalent.
(i) , , , and .
(ii) .
(iii) There exist and in with satisfying
(iv) There exist and in with satisfying
Proof. By Lemma 5.4, (i)⇔(ii). Clearly (ii)⇒(iii), as for each Trap, .
By (
1) and (
2), for each
, (
3) holds means that both (iv-1) and (iv-3) hold. By (
1) and (
2), for each
, (4) holds means that both (iv-2) and (iv-4) hold. So (iii)⇔(iv).
Now we show that (iv)⇒(i). (Obviously, (i)⇒(iv).) Assume that (iv) is true. Computing (iv-1)−(iv-2), we obtain (a) . As , (a) is equivalent to (iv-5) . Computing (iv-1)(iv-5), we have (iv-6) . Computing (iv-5)+(iv-6), we obtain . Similarly, from (iv-3) and (iv-4), we can deduce that and (see also (I) below). So (i) is true. Hence (iv)⇒(i) is proved.
Thus (i), (ii), (iii) and (iv) are equivalent. This completes the proof.
(I) Computing (iv-3)−(iv-4), we obtain (b) . As , (b) is equivalent to (iv-7) . Computing (iv-3)(iv-7), we have (iv-8) . Computing (iv-7)+(iv-8), we obtain .
□
Let S be a subset of , and a statement about real numbers x. If there exists a set of measure zero such that holds for all , then we say that holds almost everywhere on . For simplicity, “almost everywhere” is also written as “a.e.”.
The result of the following Theorem 5.6 was first given in [
24]. As
(
E is also written as
. See Page 57 of [
23] for the definition of
and the relation of
E and
), the result of Theorem 5.6 is part of the result of Theorem 9.4 in [
23].
Theorem 5.6. [23,24] Suppose that u, , are fuzzy sets in E. Then the following statements are equivalent. (i) . (ii) holds a.e. on . (iii)
Theorem 5.7. Let be a sequence of trapezoidal fuzzy numbers and a trapezoidal fuzzy number. Then the following statements are equivalent.
(i) .
(ii) .
(iii) .
(iv) .
(v) , , , and .
Proof. By Theorem 5.5, (v)⇔(i). So to show the desired result, it suffices to show that (i)⇔(ii)⇔(iii)⇔(iv). By Corollary 4.5, to show (i)⇔(ii)⇔(iii)⇔(iv), we only need to show that (iv)⇒(i).
Suppose that (iv) holds. As Trap , by Theorem 5.6, (iv) means that holds a.e. on . Then there exists two distinct and in such that and . Hence, by Theorem 5.5, (i) holds. Thus (iv)⇒(i). This completes the proof.
□
Theorem 5.8. .
Proof. The desired result follows immediately from Theorem 5.7.
□
Corollary 5.9. Let be a sequence of trapezoidal fuzzy numbers and a triangular fuzzy number. Then the following statements are equivalent.
(i) .
(ii) .
(iii) .
(iv) .
(v) , , , and .
Proof. Note that, by Remark 3.7, u is the trapezoidal fuzzy number . Thus the desired result follows immediately from Theorem 5.7.
□
Corollary 5.10. Let be a sequence of triangular fuzzy numbers and a triangular fuzzy number. Then the following statements are equivalent.
(i) .
(ii) .
(iii) .
(iv) .
(v) , , and .
Proof. Note that, by Remark 3.7, u is the trapezoidal fuzzy number and is the sequence of trapezoidal fuzzy numbers . Thus the desired result follows immediately from Theorem 5.7.
Clearly, the desired result also follows from Corollary 5.9.
□