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Pseudo overlap functions, fuzzy implications and pseudo grouping functions with applications
(MDPI, 2022)
Artículo / Artikulua,
Overlap and grouping functions are important aggregation operators, especially in information fusion, classification and decision-making problems. However, when we do more in-depth application research (for example, ...
On some classes of nullnorms and h-pseudo homogeneity
(Elsevier, 2022)
Artículo / Artikulua,
Nullnorms are aggregation functions which generalize t-norms and t-conorms. For each nullnorm there exists an annihilator
element such that, below it, the function behaves like a t-conorm, and, above it, like a t-norm. ...
Aggregation of individual rankings through fusion functions: criticism and optimality analysis
(IEEE, 2020)
info:eu-repo/semantics/article,
Throughout this paper, our main idea is to analyze from a theoretical and normative point of view different methods to aggregate individual rankings. To do so, first we introduce the concept of a general mean on an abstract ...
N-dimensional admissibly ordered interval-valued overlap functions and its influence in interval-valued fuzzy rule-based classification systems
(IEEE, 2021)
info:eu-repo/semantics/article,
Overlap functions are a type of aggregation functions that are not required to be associative, generally used to indicate the overlapping degree between two values. They have been successfully used as a conjunction operator ...
A proposal for tuning the α parameter in CαC-integrals for application in fuzzy rule-based classification systems
(Springer, 2020)
info:eu-repo/semantics/article,
In this paper, we consider the concept of extended Choquet integral generalized by a copula, called CC-integral. In particular, we adopt a CC-integral that uses a copula defined by a parameter α, which behavior was tested ...
Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks
(Elsevier, 2024)
Artículo / Artikulua,
Convolutional Neural Networks (CNNs) are a family of networks that have become state-of-the-art in several fields of artificial intelligence due to their ability to extract spatial features. In the context of natural ...
On fuzzy implications derived from general overlap functions and their relation to other classes
(MDPI, 2023)
Artículo / Artikulua,
There are distinct techniques to generate fuzzy implication functions. Despite most of them
using the combination of associative aggregators and fuzzy negations, other connectives such as
(general) overlap/grouping ...
The evolution of the notion of overlap functions
(Springer, 2021)
info:eu-repo/semantics/bookPart,
In this chapter we make a review of the notion of overlap function. Although originally developed in order to determine up to what extent a given element belongs to two sets, overlap functions have widely developed in the ...
Constructing interval-valued fuzzy material implication functions derived from general interval-valued grouping functions
(IEEE, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Grouping functions and their dual counterpart,
overlap functions, have drawn the attention of many authors,
mainly because they constitute a richer class of operators compared to other types of aggregation functions. ...
Admissible orders on fuzzy numbers
(IEEE, 2022)
Artículo / Artikulua,
From the more than two hundred partial orders for fuzzy numbers proposed in the literature, only a few are total. In this paper, we introduce the notion of admissible order for fuzzy numbers equipped with a partial order, ...