1. Introduction
In 1982, the notion of
T-equivalence (or indistinguishability fuzzy relation with respect to
T), where
T is a t-norm, was introduced by E. Trillas in order to provide a fuzzy notion of equivalence relation [
1]. Let us recall that a
T-equivalence on a non-empty set
X is a fuzzy set
, which satisfies for each
the following axioms:
- (E1)
;
- (E2)
;
- (E3)
.
A
T-equivalence
E is said to be a
T-equality (or indistinguishability fuzzy relation with respect to
T that separate points) in those cases in which
implies
([
2]).
Observe that the numerical value provides a degree up to which the element x is indistinguishable from the element y. Thus, the greater the , the more indistinguishable are x and y. In particular, for T-equalities, when .
Since indistinguishability fuzzy relations were introduced by Trillas, many authors have explored their properties, methods for generating them, and their applications (see, for instance, [
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16]).
From now on we will assume that the reader is familiar with the basics of t-norms. For a fuller treatment of the topic, we refer the reader to [
17].
The dual relationships between
T-equivalences and metrics have been deeply explored in the literature, since
T-equivalences can be interpreted as a kind of measure of similarity and this is, in some sense, a dual notion to dissimilarity which is provided by distances. With the aim of introducing one of the aforementioned relationships, let us recall the notion of an extended pseudo-metric. On account of [
18], an extended pseudo-metric on a (non-empty) set
X is a function
such that for all
- (d1)
,
- (d2)
,
- (d3)
.
An extended metric d on X is an extended pseudo-metric which satisfies the condition given for all for all as follows: .
Following [
19], an extended pseudo-metric
d on
X is called a
b-bounded pseudo-metric whenever there exists
such that
for all
, where
.
Regarding the aforementioned duality, a
T-equivalence
can be generated from an extended pseudo-metric
d on a non-empty set
X and a continuous Archimedean t-norm
T as follows (see [
20]):
where
denotes an additive generator for
T. Notice that the continuity of the
t-norm cannot be weakened in order to guarantee that
is a
T-equivalence, as proved in [
21]. The same construction gives a
T-equality when the extended pseudo-metric is in fact an extended metric [
22].
Aggregation theory and aggregation functions play a central role in order to generate methods for constructing new indistinguishability fuzzy relations from older ones. The research activity in aggregation methods has been very intense in the last few years due to potential applications to many problems that arise in a natural way in decision-making. For a deeper discussion of the topic, we refer the reader to [
23,
24,
25,
26].
Taking this fact into account, a characterization of those functions that allow to aggregate a collection of indistinguishability fuzzy relations into a new one was provided in [
27].
With the aim of exposing such a characterization, let us recall, given a collection of
t-norms
, that a collection of fuzzy binary relations
(
) is said to be a collection of
-equivalences provided that each
is a
-equivalence on a non-empty set
X for all
(see [
3,
27]). Moreover, given a t-norm
T, a function
F:
aggregates
-equivalences into a
T-equivalence provided that
is a
T-equivalence on a non-empty set
X when
is a collection of
-equivalences on
X. Furthermore, according to [
27], a function
G:
aggregates extended pseudo-metrics into an extended pseudo-metric provided that
is an extended pseudo-metric on a non-empty set
Y, whenever
is a collection of extended pseudo-metrics on
Y. In those cases in which the extended pseudo-metrics are bounded, a function
H:
is said to aggregate a collection of
-bounded pseudo-metrics
on
Y if
is a
c-bounded pseudo-metric on
Y whenever each
is a
-bounded pseudo-metric on
Y for all
.
In view of the exposed notions, the aforementioned characterization of indistinguishability fuzzy relations can be stated as follows (see [
27]):
Theorem 1. Let and let be a collection of continuous Archimedean t-norms. If T is a continuous Archimedean t-norm and F: is a function, then the following assertions are equivalent:
- (1)
F aggregates -equivalences into a T-equivalence.
- (2)
The function aggregates every collection of -bounded pseudo-metrics into a -bounded pseudo-metric, where .
In the light of the preceding result, it must be stressed that
F aggregates
-equivalences into a
T-equivalence, all of them being defined on an arbitrary set
X. Moreover, the function
H aggregates every collection of
-bounded pseudo-metrics into a
-bounded pseudo-metric, all of them being defined on arbitrary set
Y. Observe that there is no a priori relationship between
X and
Y. Furthermore, it must be pointed out that the proof of the above result is based on the fact that, given a
T-equivalence, one can always induce an extended pseudo-metric
d by means of
(see [
21,
22]) and vice versa, given an extended pseudo-metric on
Y, one can generate a
T-Equivalence on
Y by means of (
1).
Notice that the next result is obtained from the preceding one in the particular case in which all continuous Archimedean t-norms are assumed to be strict (see [
27]).
Corollary 1. Let and let be a collection of strict continuous Archimedean t-norms. If T is a strict continuous Archimedean t-norm and F: is a function, then the following assertions are equivalent:
- (1)
F aggregates -equivalences into a T-equivalence.
- (2)
The function aggregates every collection of extended pseudo-metrics into an extended pseudo-metric, where .
It must be stressed that, in the statements of the previous results, the t-norms have been assumed to be continuous and Archimedean in order to warranty that the technique for generating indistinguishability fuzzy relations given by (
1) can be applied.
Recently, a new characterization of functions that aggregate indistinguishability fuzzy relations was yielded in terms of triangular triplets with respect to a family of t-norms [
28]. The mentioned notion of triangular triplet can be formulated in the following way.
Given a collection of t-norms
, a triplet
is said to be a
n-dimensional
-triangular triplet provided, for all
, that
Observe that the preceding concept retrieves that of a triangular triplet with respect to a t-norm
T, given in [
3], when one considers the collection of t-norms
such that
for all
.
The promised characterization was stated as follows [
28].
Theorem 2. Let and let be a collection of t-norms. If T is a t-norm and F: is a function, then the following assertions are equivalent:
- (1)
F aggregates -equivalences into a T-equivalence.
- (2)
F holds the following conditions:
- (2.1)
, where with .
- (2.2)
F transforms n-dimensional -triangular triplets into a one-dimensional T-triangular triplet.
Let us recall that from Theorem 2, one can retrieve the characterization of functions that aggregate
T-equivalences into a
T-equivalence provided in [
3]. With this aim, it is sufficient to take the collection of t-norms
with
for all
.
In the particular case of
T-equalities, the next characterization was also proven in [
28].
Theorem 3. Let and let be a collection of t-norms. If T is a t-norm and F: is a function, then the following assertions are equivalent:
- (1)
F aggregates -equalities into a T-equality.
- (2)
F holds the following conditions:
- (2.1)
, where with .
- (2.2)
Let . If , then there exists such that .
- (2.3)
If such that is a n-dimensional -triangular triplet, then, is a one-dimensional T-triangular triplet.
Motivated by the exposed facts, the main objectives of this paper are twofold. On the one hand, we provide new information about the description of functions aggregating -equivalences and their relationship to those that aggregate extended pseudo-metrics. Concretely, we show an equivalence between assertions provided in the statement of Theorems 1 and 2 and the fact that the function aggregates extended pseudo-metrics into a bounded pseudo-metric. On the other hand, we provide a characterization of those functions that aggregate -equalities into a new one in the spirit of Theorem 1, but taking advantage of Theorem 3. Although it could be expected that such a characterization should be very similar to that given for the case of -equivalences, it follows that both differ a lot. Thus, roughly speaking, we show that the fact that F aggregates -equalities into a T-equality is equivalent to the fact that the function merges extended metrics into a bounded metric and, in addition, to the fact that the function G transforms n-dimensional positive triangular triplets into a one-dimensional positive triangular triplet. Our new results extend the exposed and known characterizations which involve only bounded pseudo-metrics to the extended pseudo-metric framework, which is the most natural when distances associated to indistinguishability fuzzy relations and additive generators are considered. Besides, it must be pointed out that we provide a completely new description of those indistinguishability fuzzy relations that separate points. Notable differences between both characterizations are shown.
2. Aggregation of -Equivalences
In this section, we focus our efforts on obtaining new equivalences with the statements in Theorems 1, 2 and Corollary 1. With this aim, we recall the notion of a triangular triplet following [
3].
A triplet
, with
and
(
), forms a
n-dimensional triangular triplet whenever, for all
,
where
if
and
or
following the usual order of the real line.
In view of the preceding notion, we introduce two results which will play a central role in our subsequent discussion.
Lemma 1. Let and . If is a n-dimensional triangular triplet and with different , then there exists a collection of extended pseudo-metrics on X such that , and for all .
Proof. Define, for each , the function by , , and . It is not hard to check that is a collection of extended metrics on X because is a n-dimensional triangular triplet. □
The same arguments given in the proof of Lemma 1 remain valid for the next result in which n-dimensional triangular triplets in are considered.
Lemma 2. Let and . If is a n-dimensional triangular triplet and with different , then there exists a collection of extended metrics on X such that , and for all .
The next result gives the new aforesaid equivalences.
Theorem 4. Let and let be a collection of continuous Archimedean t-norms. If T is a continuous Archimedean t-norm and F: is a function, then the following assertions are equivalent:
- (1)
F aggregates -equivalences into a T-equivalence.
- (2)
The function G: transforms n-dimensional triangular triplets in into a one-dimensional triangular triplet in and , where .
- (3)
The function G: aggregates every collection of extended pseudo-metrics into a -bounded pseudo-metric, where .
- (4)
The function H: transforms n-dimensional triangular triplets in into a one-dimensional triangular triplet in and , where .
Proof. (1)
. By Theorem 2 we have that
F transforms
n-dimensional
-triangular triplets into one-dimensional
T-triangular triplets. Now, let
be a
n-dimensional triangular triplet. Then, it is not hard to check that
forms a
n-dimensional
-triangular triplet, where
,
and
. Thus,
is a one-dimensional
T-triangular triplet. It follows that
for all
, whence we conclude that
is a one-dimensional triangular triplet in
.
It remains to show that
. First,
Besides, again by Theorem 2, we have that
. Therefore,
(2)
. Consider a collection
of extended pseudo-metrics on a non-empty set
X. Then, for every
, we have that
is a
n-dimensional triangular triplet, where
,
and
. Then,
is a one-dimensional triplet in
, whence we have that
for all
. It is clear that
. In order to show that
is a
-bounded pseudo-metric on
X, it remains to check that
for all
. Indeed, let
. Then,
(3) . First we prove that the function H aggregates a collection of -bounded pseudo-metrics on a non-empty set X into a -bounded pseudo-metric on X. Since is a collection of extended pseudo-metrics on X, the function G aggregates it into a -bounded pseudo-metric on X. However, . Thus, is a -bounded pseudo-metric on X.
Next, consider a
n-dimensional triangular triplet
in
. Consider
with different
. By Lemma 1, there exists a collection of
of
-bounded pseudo-metrics on
X such that
,
and
for all
. Then,
is a
-bounded pseudo-metric on
X. Thus,
for all
. It follows that
,
and
. Hence
. Similarly, we can show that
and that
. Therefore,
is a one-dimensional triangular triplet in
.
It remains to prove that
. However, this is evident, since the collection
under consideration (given by Lemma 1) is formed by
-bounded pseudo-metrics on a non-empty set
X and, hence,
for all
. Thus,
(4) . Consider a collection of -equivalences on a non-empty set X. We must prove that is a T-equivalence.
First we show that
for all
. The fact that
is a
-equality on
X for every
i, gives that
for all
. Assume that
. Then,
and
However, this contradicts the fact that .
Obviously,
since
for all
. Thus, it remains to prove that the following inequality is held for each
:
The next set
,
, and
. Since
we have that
for all
. It follows that
for all
. Since
we deduce that
for all
. Similar arguments allow us to show that
and that
for all
. Consequently, we have that
is a
n-dimensional triangular triplet in
, where
,
and
. Thus,
is a one-dimensional triangular triplet in
. Thus,
. Then,
Applying
to both hands of the preceding inequality immediately gives that
Consequently, we conclude that is a T-equivalence on X. □
It must be pointed out that if the collection of t-norms
is reduced to the single continuous Archimedean t-norm
T, then equivalence (1)
in Theorem 4 retrieves the characterization yielded in [
3]. Moreover, the combination of Theorem 1 with the aforementioned equivalence improves the characterization provided in [
29], where all bounded pseudo-metrics belonging to the collection to be aggregated and the bounded pseudo-metric obtained via the aggregation share the same constant of boundedness.
From Theorem 4, we can derive the following one, which improves Corollary 1, if all continuous Archimedean t-norms are assumed to be strict.
Theorem 5. Let and let be a collection of strict continuous Archimedean t-norms. If T is a strict continuous Archimedean t-norm and is a function, then the following assertions are equivalent:
- (1)
F aggregates -equivalences into a T-equivalence.
- (2)
The function transforms n-dimensional triangular triplets into a one-dimensional triangular triplets in and , where .
- (3)
The function aggregates every collection of extended pseudo-metrics into an extended pseudo-metric, where .
3. Aggregation of -Equalities
This section is devoted to deal with the characterization of the functions that allow us to aggregate -equalities making use of Theorem 3.
Theorem 6. Let and let be a collection of continuous Archimedean t-norms. If T is a continuous Archimedean t-norm and F: is a function, then the following assertions are equivalent:
- (1)
F aggregates -equalities into a T-equality.
- (2)
The function , where , fulfills the following conditions:
- (2.1)
;
- (2.2)
Let . If , then there exists such that ;
- (2.3)
G transforms n-dimensional triangular triplets in into a one-dimensional triangular triplet in .
- (3)
The function G: aggregates every collection of extended metrics into a -bounded metric, where .
- (4)
The function H: aggregates every collection of -bounded metrics into a -metric, where .
- (5)
The function H: , where , fulfills the following conditions:
- (5.1)
;
- (5.2)
Let . If , then there exists such that ;
- (5.3)
H transforms n-dimensional triangular triplets in into a one-dimensional triangular triplet in ;
Proof. (1) . By Theorem 3, we have that F transforms n-dimensional -triangular triplets in into one-dimensional T-triangular triplets and, in addition, . The same arguments to those given in Theorem 4 show that from the fact that .
Now, assume that
with
. Then,
Thus, there exists such that , whence we obtain that .
Next, consider a
n-dimensional triangular triplet
in
. Then,
for all
and for all
. Thus,
for all
, whence we deduce that
is a
-triangular triplet. Thus,
is a
n-dimensional
-triangular triplet in
with
,
and
. Then,
is a one-dimensional
T-triangular triplet. Hence, we have that
for all
, whence we deduce that
for all
. Thus, we obtain
for all
. Therefore,
is a one-dimensional triangular triplet in
. Observe that
for all
, since otherwise we have that there exists
such that
, which contradicts the fact that
.
(2) . Consider a collection of extended metrics on a non-empty set X. We will see that is a metric on X.
First we show that
. On the one hand, if
, then
for all
. Thus,
Now assume we have that
for any
. Then,
Thus, there exists
such that
. Hence,
.
Obviously, for each .
Finally, we prove that the triangle inequality
is held for each
. Without loss of generality, we can assume that the cardinality of
X is at least three, that is, that there exists
with different
. Otherwise, the triangle inequality is clear.
Define
,
and
. By our assumptions,
is a
n-dimensional triangular triplet. This gives that
is a one-dimensional triangular triplet in
, which follows that
. It is obvious.
. The same reasoning to that applied in the proof of in Theorem 4 remains valid here, to show that .
Next, we prove that if there exists
such that
, then there exists
such that
. For the purposes of contradiction, assume that
with
. Consider a non-empty set
such that
. Define the function
by
and
for all
. Then,
is a collection of
-bounded metrics on
X. Thus,
is a
-bounded metric on
X. Since
, we have that
which is impossible because
. Then, if
, we deduce that there exists
such that
.
We need only consider a
n-dimensional triangular triplet
. Set
with different
. By Lemma 2 we have guaranteed the existence of a collection
of
-bounded metrics on
X with
,
and
for all
. Then,
is a
-bounded metric on
X, whence we deduce that
for all
. From these inequalities, we obtain that
is a one-dimensional triangular triplet in
.
. First of all, we show that
. Since
and
, we immediately deduce that
.
Now, assume that
with
. Then,
with
for all
. The fact that
gives that
. Thus, there exists
such that
. It follows that
.
Finally, let
such that
is a
n-dimensional
-triangular triplet. Then,
is a
n-dimensional triangular triplet in
, where
,
and
. Indeed, we have that
for all
and for all
. Hence, we obtain that
for all
and for all
, whence we deduce that
for all
and for all
. Since
we deduce that
for all
and for all
. Consequently,
is a one-dimensional triangular triplet in
. Thus,
for all
, since
,
and
. Thus, we get that
for all
. Thus, we have that
for all
. Therefore,
is a one-dimensional
T-triangular triplet. Now, the fact that
F aggregates
-equalities into a
T-equality follows by Theorem 3. □
In the particular case in which all continuous Archimedean t-norms are assumed to be strict, then, from Theorem 6, we can deduce the next result.
Corollary 2. Let and let be a collection of strict continuous Archimedean t-norms. If T is a strict continuous Archimedean t-norm and F: is a function, then the following assertions are equivalent:
- (1)
F aggregates -equalities into a T-equality.
- (2)
The function G: , where , fulfills the following conditions:
- (2.1)
;
- (2.2)
Let . If , then there exists such that ;
- (2.3)
G transforms n-dimensional positive triangular triplets in into a one-dimensional positive triangular triplet in .
- (3)
The function aggregates every collection of extended metrics into an extended metric, where .