1. Introduction
Aggregation refers to the process of gathering individual items and combining them into a unique one. This action appears in mathematics for different types of objects. The most common are numbers, and the thought behind aggregating them is to obtain a representative one that summarizes the information in the set of numbers. Thus, in a general context, an aggregation function
F is of the form
, where
X is a nonempty set. This simple idea has gained significant importance in a wide range of disciplines due to its ability to model decision-making problems (see, for example, [
1,
2]). Thus, the functions performing this process (aggregation functions [
3,
4]) have applications in decision theory, artificial intelligence [
5], economics [
6], etc. In decision-making problems, aggregation functions are employed to aggregate individual preferences or opinions in the presence of uncertainty or conflicting information. For example, in multicriteria decision analysis (MCDA) (see, for example, [
7]), where decisions must be made based on several criteria, aggregation functions are used to merge different criteria weights and alternatives to determine the optimal solution.
Easy examples of aggregation functions are the measures of central tendency in statistics such as the arithmetic mean, median, or mode.
Additionally, we can also consider not only the aggregation of numbers but also the combination of more complex mathematical structures. In this context, Doboš and his collaborators [
8,
9,
10,
11] explored the theory behind merging a family of metric spaces into a single metric space, where the ground set is the Cartesian product. To clarify this, let us consider a function
We say that
F is a metric preserving function [
11] if for every family
of metric spaces then
is a metric on
where
is given by
for all
The metric-preserving functions were characterized and deeply studied in [
8,
9] (refer also to the surveys [
10,
12]).
Similarly, Mayor and Valero [
13] examined a related issue by characterizing the functions that aggregate multiple metrics defined on the same set into a single metric on that set. Concretely, they characterized those functions
verifying that whenever
is a family of metric spaces then
is a metric on
X where
is given by
for all
These two processes are distinct, and we differentiate them by referring to the first as aggregation on products and the second as aggregation on sets.
The aggregation problem is not exclusive to metrics. It has also been explored for other mathematical structures, such as quasi-metrics [
14,
15], fuzzy quasi-pseudometrics [
16], norms [
17,
18], asymmetric norms [
18,
19] or probabilistic quasi-uniformities [
20], among others.
On the other hand, metric modulars were introduced by Chistyiakov [
21,
22,
23,
24] as a generalization of Nakano’s modulars to arbitrary sets. Roughly speaking, a metric modular is a metric that depends on a parameter
(see Definition 6). A typical example extracted from [
24] is as follows: Given a metric space
and
consider
which can be interpreted as the mean velocity between the points
x and
y over time
The function
w is the prototypical example of a metric modular and, by axiomatizing its fundamental properties, the definition of a metric modular emerged. Chystiakov also developed topological and convergence properties of metric modular spaces, demonstrating their coherence with the classical theory of modular linear spaces. Consequently, metric modular serves as an important tool in nonlinear analysis. Furthermore, metric modulars have been studied without the symmetry axiom [
25] and have been applied in fixed-point theory [
26,
27,
28,
29]. Additionally, a relationship with fuzzy metrics has also been established [
30]. These studies highlight the significance of metric modulars across diverse areas.
We notice that the parameter included in metric modulars improves their flexibility, making them more suitable for applications than classical metrics. For instance, consider a clustering problem where the objects to be classified are defined on different scales, that is, the data points are measured on different units [
31]. In such cases, it is not appropriate to use a single measure to determine the proximity between the points. Adaptative and asymmetric distances, such as quasi-pseudometric modulars, can be particularly useful in this context (see [
32]). Motivated by this issue and applications in multi-agent systems, recent research by Bibiloni-Femenias, Miñana, and Valero has analyzed the problem of the aggregation of quasi-pseudometric modulars on sets in two papers [
33,
34]. They characterized these functions and showed that quasi-pseudometric modular aggregation functions on sets are coincident with the pseudometric modular aggregation functions on sets [
34] (Theorem 6). This coincidence also occurs with the quasi-metric modular aggregation functions on sets and the metric modular aggregation functions on sets [
34] (Theorem 8). However, the problem of characterizing quasi-pseudometric modular aggregation functions on products has not been addressed in the literature. The goal of this paper is to fill this gap by characterizing these functions (see Theorems 5–7). Specifically, we demonstrate that the (quasi-)pseudometric modular aggregation functions on products mirror those on sets (Theorems 5 and 6). Nevertheless, in the case of aggregating quasi-metric modulars, the two families differ (Example 12). In all cases, we clearly characterize these functions in terms of isotonicity and subadditivity. This leads to new insights in the theory of aggregation functions. Our approach leverages the general framework of aggregation function theory developed in [
35]. It is based on the fact that numerous mathematical structures whose aggregation functions have been characterized in the literature are indeed enriched categories over quantales (refer to
Section 2 and
Section 3). In this way, in [
35] the authors show that lax morphisms of quantales are an appropriate extension of the notion of aggregation functions and demonstrate that some results about the aggregation of metrics and fuzzy metrics can be inferred from this theory. Additionally, in [
36], it is proven that quasi-pseudometric modular spaces are categorically isomorphic to enriched categories over the quantale ∇ of nonincreasing functions
(see Theorem 4). Consequently, taking advantage of the general theory of aggregation functions for quantales, we will characterize the quasi-pseudometric modular aggregation functions on products. Moreover, we will show that some of the results of [
33,
34] follow from this theory.
The summary of the paper is as follows. In
Section 2, we compile the basic theory about quantales along with key examples.
Section 3 addresses the core ideas of categories that are enriched over a quantale. It is highlighted that extended quasi-pseudometric spaces and fuzzy quasi-pseudometric spaces are forms of such enriched categories. In
Section 4, we summarize some of the results of [
35], showing that lax morphisms of quantales are suitable functions for aggregating enriched categories over quantales. These results will be crucial to the aim of the paper.
Section 5 introduces the mathematical structures we aim to aggregate, known as quasi-pseudometric modulars. These were originally defined by Chistyakov in [
22] to extend Nakano’s modular concept to arbitrary sets. Furthermore, we incorporate results from [
36], which indicate that quasi-pseudometric modular spaces can be viewed as categories enriched over a specific quantale. With all this theory, we will characterize in
Section 6,
Section 7 and
Section 8 the (quasi-)(pseudo)metric modular aggregation functions on products.
2. Quantales and Lax Morphisms
In this section, we review the fundamental theory of quantales. Our primary references are [
37,
38].
Definition 1 ([
38] (Section II.1.10), [
37] (Section 2.3))
. A quantale is a complete lattice such that is an associative binary operation which distributes over suprema:If ∗ is also commutative then is a commutative quantale.
A quantale is called unital if ∗ has a unit A unital quantale is integral if the unit is the top element ⊤ of
In the remainder of the paper, we will only consider commutative integral quantales; however, for simplicity, we will use only the term quantale.
Remark 1. Notice that in an integral quantale , we have that for all In fact, , so In a similar way,
Example 1 ([
38] (Example II.1.10.1))
.- 1.
Let ∗ be a triangular norm (t-norm for short) on (see, for example, [39]), that is, an associative, commutative binary operation with unit 1,
such that whenever and , with . If ∗ is left-continuous then is a commutative integral quantale, where ≤ is the usual order. - 2.
Let be a set with two different elements endowed with the usual order. If ∗ is an arbitrary t-norm then is a commutative integral quantale.
- 3.
Let us consider the opposite order on the extended real line Specifically, if and only if . If we extend the usual sum + on the real numbers to include as usual, then forms a commutative integral quantale known as the Lawvere quantale [40] (see also [38] (Example II.1.10.1.(3))). - 4.
Let be the family of distance distribution functions given bywhere left-continuous means that for all (as usual, ). Then endowed with the pointwise order is a complete lattice. Moreover, given a left-continuous t-norm ∗, and define as Then is a quantale (see [41,42,43]) where the unit is given byfor all For simplicity, we will denote the quantale by - 5.
Let us consider the setendowed with the pointwise order also denoted by . Then, is a quantale [36], where is given by Its unit is the constant 0 function that we denote by
This quantale will be crucial in the paper because, as proved in [36], quasi-pseudometric modular spaces can be viewed as categories enriched over ∇
(see Theorem 4).
Remark 2. Let be an arbitrary family of quantales. Define as the product partial order defined componentwisely, and let be the componentwise operation given by for all and all Thus, forms a quantale.
If all the quantales in the family are equal to we will simplify the notation by also using ⪯ and ∗ to denote the partial order and the operation on
In particular, we denote by the quantale and by the quantale The unit of will be denoted by which represents Furthermore, designates the unit of , that is,
By considering quantales as ordered categories, the concept of lax functor reduces to the following:
Definition 2 ([
38,
42])
. A map between two quantales is said to be a lax morphism of quantales if implies for all (isotone)
for all (subadditive)
Example 2. If and , then a function is a lax morphism if
Notice that, in the last inequality, the symbol + denotes the usual sum of extended real numbers on the right side, while on the left side, it indicates the sum performed componentwise.
4. Lax Morphisms of Quantales as Generalized Aggregation Functions
In [
35], the authors expand upon the existing theory of aggregation functions by situating it within the framework of categories enriched over a quantale. This conceptual shift allows for a more robust analysis of aggregation functions for various mathematical structures.
In our paper, we aim to leverage this generalized framework to explore and derive results concerning the aggregation of quasi-pseudometric modulars (see
Section 5 for a more in-depth discussion of this concept).
To ensure a thorough understanding of our subsequent findings, we will first review the results from [
35] that will be instrumental in our research later in the paper.
Definition 4 ([
35])
. A map between two quantales is said to be preserving if the map which assigns to a -category the pair , is well-defined, that is, if is a -category.We will denote by , or simply by if no confusion arises, the family of preserving functions between the quantales and
If the map F satisfies that is a separated (resp. symmetric) -category whenever is a separated (resp. symmetric) -category, then F is said to be separately preserving (resp. symmetrically preserving). The family of separately (resp. symmetrically) preserving functions will be denoted by (resp. ).
Notice that .
We now present an easy example of the family of preserving functions
for specific quantales
and
. Further examples will be provided in Theorems 5–7, and Proposition 4 (see also [
35]).
Example 5. Let be a function. Then F is preserving if and only if F is the identity or F is the identically 1 function. Otherwise, and in this case, given a -category (a partially ordered set, Example 3) and , then is not a -category since failing to fulfill (VC1).
The concept of triangle triplet, which first appeared in [
49], plays a crucial role in the characterization of quasi-pseudometric aggregation functions [
11,
14]. A counterpart notion appears in [
16] for characterizing fuzzy quasi-pseudometric aggregation functions. The following concept expands this notion to a more general context.
Definition 5 ([
35])
. Let be an ordered semigroup, that is, a semigroup endowed with a partial order compatible with the operation. A triplet is said to be an asymmetric triangle triplet on if Moreover, it is said to be a triangle triplet if every permutation of the triplet is an asymmetric triangle triplet.A function between two ordered semigroups is said to preserve (asymmetric) triangle triplets if is a(n) (asymmetric) triangle triplet on whenever is a(n) (asymmetric) triangle triplet on
Example 6 A triangle triplet on is a triplet such that An asymmetric triangle triplet on is a triplet such that if is a (quasi-)pseudometric space, then is a(n) (asymmetric) triangle triplet on for every
Example 7. Every constant function between two commutative integral quantales preserves asymmetric triangle triplets. Notice that whenever is an asymmetric triangle triplet, then is a triangle triplet on (see Remark 1).
The results detailed below, taken from [
35], characterize the various families of preserving functions that were introduced earlier.
Theorem 1 ([
35])
. Let be two commutative integral quantales. The following statements are equivalent:- 1.
is preserving;
- 2.
is a lax morphism;
- 3.
F preserves asymmetric triangle triplets and ;
- 4.
F preserves symmetric triangle triplets, it is isotone and
Theorem 2 ([
35])
. Let be two commutative integral quantales. Then a function is symmetrically preserving if and only if F preserves triangle triplets and Proposition 1 ([
35])
. Let be two commutative integral quantales. Then F preserves asymmetric triangle triplets and if and only if F preserves symmetric triangle triplets, is isotone and Theorem 3 ([
35])
. Let be two commutative integral quantales. The following statements are equivalent:- 1.
is separately preserving;
- 2.
is a lax morphism satisfying ;
- 3.
F preserves asymmetric triangle triplets and
6. Aggregation Functions of Quasi-Pseudometric Modulars
In this section and the following ones, we finally address the goal of this paper. As previously commented, in [
33], the concept of a (pseudo)metric modular aggregation function was introduced and characterized. This topic was further developed in [
34], which explored quasi-pseudometric modular aggregation functions. The investigations conducted in [
33,
34] focus solely on what we refer to as aggregation functions on sets. This means that these functions enable the merging of a family of quasi-pseudometric modulars defined on the same set into a single one in that set.
Note that there is an alternative method for aggregating quasi-pseudometric modulars by constructing a new one within the Cartesian product. In this section, we will characterize these functions using the general theory of aggregation functions between quantales. Moreover, we will prove some already known results of aggregation of (quasi-)(pseudo)metric modulars using the theory of quantales given in
Section 4. We will begin by clearly defining the two different concepts of functions that aggregate quasi-pseudometric modulars.
Definition 7 (compare with [
33,
34])
. A function is said to be the following:a
(quasi-)(pseudo)metric modular aggregation function on products if for every family of (quasi-)(pseudo)metric modular spaces, then is a (quasi-)(pseudo)metric modular on , whereis given byfor all a (quasi-)(pseudo)metric modular aggregation function on sets if for every collection of (quasi-)(pseudo)metric modulars over a nonempty set X, then is a (quasi-)(pseudo)metric modular on X, whereis given byfor all
We shall now give some examples that illustrate this definition.
Example 10. - 1.
Given let given asfor every Then it is straightforward to check that is a quasi-pseudometric modular aggregation function on products. - 2.
Given define asfor all An easy computation shows that is a quasi-pseudometric modular aggregation function on products.
The family of quasi-pseudometric modular aggregation functions on products (resp. on sets) will be denoted by (resp. ). The notations , , , , , are self-explained.
The families
were characterized in [
33]; meanwhile, the families
were characterized in [
34]. In this paper, we will characterize the families
. To achieve this, we will make use of the general theory about aggregation functions developed by the authors in [
35]. Moreover, we will demonstrate that some of the results of [
33,
34] can be deduced from that general theory.
We start by presenting a result that demonstrates the equivalence between the quasi-pseudometric modular aggregation functions on products and on sets. Additionally, it establishes a helpful connection between the classical theory of aggregation of quasi-pseudometric modulars and the theory of aggregation for ∇-categories, showing that a quasi-pseudometric modular aggregation function on products F induces a function transforming -categories into ∇-categories.
Proposition 2. Let be a function. Define asfor every and Then the following statements are equivalent: - 1.
- 2.
- 3.
whenever is a -category then is a ∇-category.
Proof. (1) ⇒ (2) This is straightforward.
(2) ⇒ (3) Suppose that
and let
be a
-category. By Example 4.(1),
is a ∇-category for all
, where
is the
ith-coordinate function of
Hence,
is a family of quasi-pseudometric modular spaces (see Theorem 4). By assumption,
is a quasi-pseudometric modular space, so
is a ∇-category by Theorem 4. Notice that, given
and
that is,
that proves the implication.
(3) ⇒ (1) Let
be a family of quasi-pseudometric modular spaces. By Theorem 4,
is a family of ∇-categories, so
is
-category where, for all
,
for every
,
(see Example 4.(2)). By assumption,
is a ∇-category so, by Theorem 4,
is a quasi-pseudometric modular space. Moreover, given
and
so
is a quasi-pseudometric modular space. Hence,
□
Remark 6. We observe that given a function satisfying that is a ∇
-category for every -category thenLet us show this. Let Consider a set with two different points and for every , let be defined asfor every Then is -category wherefor every , , . By assumption, is a ∇
-category, sowhich proves the assertion. Based on the previous proposition and remark, we can derive a corollary that shows quasi-pseudometric modular aggregation functions are included in the family of preserving functions between and ∇. This connects the existing theory of quasi-pseudometric modular aggregation functions in the literature with our approach to the problem using preserving functions.
Corollary 1. Let be a function. Define asfor every and Then the following statements are equivalent: - 1.
- 2.
- 3.
Consequently, the mapgiven byis well-defined. In [
34] (Theorem 8), Bibiloni-Femenias and Valero characterized the quasi-pseudometric modular aggregation functions on sets as those isotone and subadditive functions
such that
We will show that this result can be derived from the results presented in [
35]. To achieve this, we will prove that a function
is preserving if and only if
is preserving. This will be a consequence of the following result.
Proposition 3. Let . Then F is a lax morphism of quantales if and only if is a lax morphism of quantales.
Proof. Suppose that F is a lax morphism of quantales. Since F is a lax morphism then it is isotone. Hence so is well-defined.
Next, let us check that
is isotone. Consider
Since
F is subadditive and isotone (Example 2) then
Hence, is subadditive.
Moreover, suppose that
for all
. Using that
F is isotone we have the following:
Finally, we have that, for every
so
Therefore,
is a lax morphism of quantales.
Conversely, suppose that
is a lax morphism of quantales. We first notice that, given
Now we prove that
F is subadditive.
Let
. For each
, let us consider
defined as
for every
Let
Then, for any
using the subadditivity of
, we deduce that, for any
,
so
F is subadditive.
Furthermore, if
then
and since
is isotone we have
Consequently,
F is isotone and a lax morphism of quantales. □
Based on our previous results, we can achieve one of the main goals of the paper: the characterization of the quasi-pseudometric modular aggregation functions on products or on sets. The following theorem characterizes them in various ways.
Theorem 5 (compare with [
34] (Theorem 8))
. Let . Then, the following assertions are equivalent:- 1.
;
- 2.
;
- 3.
;
- 4.
;
- 5.
, F is isotone and F is subadditive;
- 6.
and F preserves asymmetric triangle triplets;
- 7.
, F is isotone and F preserverse triangle triplets.
Proof. This follows from Corollary 1, Proposition 3, and Theorem 1. □
Remark 7. Notice that the equivalence between (2), (5), (6), and (7) was proved in [34] (Theorem 8). Nevertheless, we have been able to obtain this equivalence based on the general theory regarding preserving functions. This approach also enables us to enhance the result by providing the same characterization for quasi-pseudometric modular aggregation functions on products. Example 11. Let be a sequence of positive real numbers. Consider the following functions:
- 1.
given byfor all ; - 2.
given byfor all
Then are quasi-pseudometric modular aggregation functions on products and on sets. This is a direct consequence of the previous theorem since , and are clearly isotone and subadditive.
Based on our previous discussion, we can identify two distinct types of functions for aggregating quasi-pseudometric modulars. One type consists of functions of the form , while the other involves preserving functions between the quantales and ∇. This leads us to the following definition.
Definition 8. Let . We say that F is a
(quasi-)(pseudo)metric modular aggregation function on products if for every family of (quasi-)(pseudo)metric modular spaces then is a (quasi-)(pseudo)metric modular space, wherefor every (quasi-)(pseudo)metric modular aggregation function on sets if for every collection of (quasi-)(pseudo)metric modulars over a set X, we have that is a (quasi-)(pseudo)metric modular space, wherefor every
The next result shows that the preserving functions between the quantales and ∇ are precisely the quasi-pseudometric modular aggregation functions as defined above.
Proposition 4. Let . Then, the following statements are equivalent:
- 1.
- 2.
F is a quasi-pseudometric modular aggregration function on products;
- 3.
F is a quasi-pseudometric modular aggregration function on sets.
Proof. (1) ⇒ (2) Let
be a family of quasi-pseudometric modular spaces. Then,
is a
-category where
for all
By assumption,
is a ∇-category, so
is a quasi-pseudometric modular space (see Theorem 4). Since
for all
, then
is a quasi-pseudometric modular space. Hence,
F is a quasi-pseudometric modular aggregation function on products.
(2) ⇒ (3) This is straightforward.
(3) ⇒ (1) Let
be a
-category. Then
is a family of quasi-pseudometric modular spaces (see Example 4.(1) and Theorem 4). By hypothesis,
is a quasi-pseudometric modular space, so
is a ∇-category. Moreover,
for all
Consequently,
is a ∇-category. □
From the previous proposition and Theorem 5, we can deduce a result that connects the families and
Proposition 5. Let . The following statements are equivalent.
- 1.
F is a quasi-pseudometric modular aggregation function on products;
- 2.
F is a quasi-pseudometric modular aggregation function on sets;
- 3.
;
- 4.
is a quasi-pseudometric modular aggregation function on products;
- 5.
is a quasi-pseudometric modular aggregation function on sets;
- 6.
.
To summarize, in this section we have presented one of the main contributions of the paper: the characterization of quasi-pseudometric modular aggregation functions on products, which we have demonstrated to be equivalent to aggregation on sets. Furthermore, we have established a relationship between the classical method for aggregating quasi-pseudometric modulars, as developed in [
33,
34], and preserving functions between certain quantales.
7. Aggregation of Pseudometric Modulars
Bibiloni-Femenias, Miñana, and Valero characterized in [
33] (Theorem 5) the pseudometric modular aggregation functions on sets. In this section, we address the problem of deriving their result using our general framework, as well as characterizing pseudometric modular aggregation functions on products.
The following result highlights two key points. First, the family of pseudometric modular aggregation functions on products is equal to the family of pseudometric modular aggregation functions on sets. Second, symmetrically preserving functions (see Definition 4) are suitable for interpreting pseudometric modular aggregation functions within our theoretical framework.
Proposition 6. Let . The following statements are equivalent.
- 1.
;
- 2.
;
- 3.
Proof. The proof is similar to that of Corollary 1 taking into account Remark 5. □
The next result will allow us to prove the characterization of pseudometric modular aggregation functions.
Proposition 7. Let Then, if and only if and F is isotone.
Proof. Suppose that
is symmetrically preserving. Let
be a symmetric
-category. Hence,
is a family of symmetric
-categories (Example 4), that is, a family of extended pseudometric spaces (Example 3). Therefore
is a family of pseudometric modular spaces (Example 8) so
is a family of symmetric ∇-categories (Theorem 4). By Example 4.(3),
is a symmetric
-category so, by assumption,
is a symmetric ∇-category. Observe that
for all
Hence,
is a symmetric
-category so
Next, we will prove that F is isotone. Notice that, by Theorem 2, so
Let
such that
Consider a set
with two different elements and, for each
define
as
for all
,
It is straightforward to check that
is a symmetric ∇-category for all
Then,
is a symmetric
-category (Example 4.(3)), so
is a symmetric ∇-category. Then,
so
F is isotone.
Conversely, suppose that and F is isotone. By Theorem 2, F preserves triangle triplets and . Given then is a triangle triplet on so is a triangle triplet on . Hence so F is subadditive. Therefore, F is a lax morphism of quantales which implies, by Proposition 3 and Theorem 1, that □
The following result shows that there is no difference between the quasi-pseudometric modular aggregation functions (on products or on sets) and the pseudometric modular aggregation functions (on products or on sets).
Theorem 6 (compare with [
34] (Theorem 8))
. Let . The following statements are equivalent.- 1.
;
- 2.
and F is isotone;
- 3.
;
- 4.
;
- 5.
;
- 6.
;
- 7.
is a quasi-pseudometric modular aggregation function on products;
- 8.
is a quasi-pseudometric modular aggregation function on sets;
- 9.
;
- 10.
;
- 11.
, F is isotone and F is subadditive;
- 12.
and F preserves asymmetric triangle triplets;
- 13.
, F is isotone and F preserves triangle triplets.
Proof. The equivalence between (1) and (2) follows from Theorems 1 and 2 and Proposition 1. Moreover, (1) is equivalent to (3), (5), (6), (7), and (8) by Proposition 5. All these statements are equivalent to (11), (12), and (13) by Theorem 5.
(2) is equivalent to (4) by Proposition 7. (4) is equivalent to (9) and (10) by Proposition 6. □
Remark 8. Notice that the equivalence between (6), (10), (11), (12), and (13) was first proved in [34] (Theorem 8). Remark 9. Observe that by [35] (Theorem 3.15), the statements of Theorem 6 are equivalent to F is an extended quasi-pseudometric aggregation function on products or on sets. Moreover, although in the context of metric modulars, the concepts of pseudometric modular aggregation functions (on products or on sets) and quasi-pseudometric modular aggregation functions (on products or on sets) are equivalent, this equivalence does not hold for metrics. There exist pseudometric aggregation functions on sets that are not quasi-pseudometric aggregation functions on sets (see [14]). In this section, we have continued the work developed in the previous one, characterizing aggregation functions of pseudometric modular, showing that they coincide with their quasi-pseudometric modular counterparts. Using the categorical framework developed earlier, we have demonstrated that symmetrically preserving functions between certain quantales provide an alternative interpretation of pseudometric modular aggregation functions.
8. Aggregation of Quasi-Metric Modulars
We now address the problem of characterizing the quasi-metric modular aggregation functions, both on products or on sets. This question was solved in [
34] (Theorem 9) when the aggregation was performed on sets.
Next, we will demonstrate that the separately preserving functions between and are precisely the quasi-metric modular aggregation functions on products. We also provide an internal characterization of these functions.
Theorem 7. Let . The following statements are equivalent:
- 1.
- 2.
;
- 3.
F is isotone, subadditive and
Proof. (1) ⇒ (2) Let us suppose that F is separately preserving. Let be a family of quasi-metric modular spaces. By Theorems 1 and 3, F is preserving, so it is a quasi-pseudometric modular aggregation function on products by Theorem 5. Hence, is a quasi-pseudometric modular space. Consequently, it only remains to show the property (M3) from Definition 6. Let such that for every , that is, . Since F is separately preserving then by Theorem 3, so for every and Since is a quasi-metric modular for every , we conclude for every , as desired.
(2) ⇒ (3) If
F is a quasi-metric modular aggregation function on products, then it is a quasi-metric modular aggregation function on sets. By [
34] (Theorem 9),
F is isotone, subadditive, and
Let us show that
By way of contradiction, suppose that there exists
such that
. Consider
the metric modular space of Example 9. Then,
is a family of quasi-metric modular spaces so, by assumption,
is a quasi-metric modular space. Nevertheless,
but
for all
This contradicts axiom (M3) of a quasi-metric modular.
(3) ⇒ (1) This is a consequence of Theorem 3. □
Remark 10. According to [35] (Theorem 3.18), the statements of the previous theorem are equivalent to F is an extended quasi-metric aggregation function on products. Notice that all functions in Example 11 are quasi-metric modular aggregation functions on products, since they satisfy statement 3 in Theorem 7. The constant zero function between and is an example of a quasi-pseudometric modular aggregation function on products which is not a quasi-metric modular aggregation function on products.
As previously mentioned, Bibiloni-Femenias and Valero characterized in [
34] the quasi-metric modular aggregation functions on sets through the following result:
Theorem 8 ([
34] (Theorem 9))
. Let , and let be a function. The following statements are equivalent to each other:- 1.
F is a quasi-metric modular aggregation function on sets;
- 2.
F is a metric modular aggregation function on sets;
- 3.
and F is isotone and subadditive. Moreover, if and , then for some ;
- 4.
, and, in addition, for all , with . Moreover, if and , then for some ;
- 5.
is isotone and preserves triangular triplets. Moreover, if and , then for some .
Notice that from the above Theorem and Theorem 7, we deduce that every quasi-metric modular aggregation function on products is a quasi-metric modular aggregation function on sets, but the converse does not hold as the next trivial example shows.
Example 12. Given let us consider be the jth projection, that is,for all Let us check that is a quasi-metric modular aggregation function on sets. Indeed, consider a collection of quasi-metric modulars on a fixed nonempty set For every and that is, , which is a quasi-metric modular on Thus is a quasi-metric modular aggregation function on sets. However, is not a quasi-metric modular aggregation function on products. To check this, let be an arbitrary quasi-metric modular space such that X has at least two different points . Then, is not a quasi-metric modular space since, if we consider such that for all andthenbut so is not a quasi-metric modular on We obtain the following characterization of functions that aggregate metric modulars on products based on the previous results. We must note that we prove these are equivalent to the quasi-metric modular aggregation functions on products.
Theorem 9. Let . The following statements are equivalent:
- 1.
;
- 2.
and ;
- 3.
F is isotone and ;
- 4.
;
- 5.
F is isotone, subadditive and
- 6.
Proof. (1) ⇔ (2) ⇔ (3) These equivalences follow from Theorems 6 and 7.
(3) ⇒ (4) Since F is symmetrically preserving and isotone then, by Theorem 6, it is a pseudometric modular aggregation function on products. Moreover, since F is separately preserving, then F is a quasi-metric modular aggregation function on products by Theorem 7. This obviously implies that F is a modular metric aggregation function on products.
(4) ⇒ (5) This is similar to (2) ⇒ (3) of Theorem 7.
(5) ⇒ (6) ⇒ (1) This is a consequence of Theorem 7. □
In conclusion, this section has focused on characterizing functions that aggregate quasi-metric modulars. However, unlike previous cases, the results differ depending on whether the aggregation occurs on products or on sets. Additionally, we have demonstrated that quasi-metric modular aggregation functions on products coincide with metric modular aggregation functions on products. This fulfills our objective of characterizing the functions aggregating on products these mathematical structures.
9. Conclusions and Future Work
In this paper, we have investigated functions that aggregate quasi-pseudometric modulars. While this topic has been recently studied in the literature [
33,
34], it has only focused on aggregation on sets. Our goal is to fill a gap in this research by examining aggregation on products. Our approach builds on recent advancements in the theory of aggregation functions over quantales [
35], emphasizing the relevance and applicability of this theory.
A significant contribution of this work is the characterization of aggregation functions for quasi-pseudometric modulars on products. We have provided an internal characterization of these functions. Moreover, we have proved that the aggregation functions for quasi-pseudometric modulars on products are exactly the same as those for quasi-pseudometric modulars on sets, revealing an unexpected structural parallel between these two approaches. This similarity also occurs for pseudometric modulars. However, it does not hold for quasi-metric modulars or metric modulars.
This research can be considered as an initial step in a broader investigation about quasi-pseudometric modular aggregation functions. While our focus in this work has been primarily on the theoretical aspects, these results pave the way for future applications. In particular, we plan to explore potential applications of this theory in computer science or cluster analysis, where aggregation functions play a critical role. Furthermore, we aim to investigate the relevance of this theory in decision theory, where the use of quasi-pseudometric modulars could provide novel insights into multi-criteria decision-making processes and preference modeling.
Future research will also focus on extending the applicability of the theory of aggregation functions within enriched categories to large classes of mathematical structures and analyzing their practical implications.