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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. ...
Type-2 fuzzy entropy-sets
(IEEE, 2017)
Artículo / Artikulua,
The final goal of this study is to adapt the concept
of fuzzy entropy of De Luca and Termini to deal with Type-2
Fuzzy Sets. We denote this concept Type-2 Fuzzy Entropy-Set.
However, the construction of the notion of ...
Application of two different methods for extending lattice-valued restricted equivalence functions used for constructing similarity measures on L-fuzzy sets
(Elsevier, 2018)
Artículo / Artikulua,
Based on previous investigations, we have proposed two different methods
to extend lattice-valued fuzzy connectives (t-norms, t-conorms, negations
and implications) and other related operators, considering a generalized ...
Interval-valued Atanassov intuitionistic OWA aggregations using admissible linear orders and their application to decision making
(IEEE, 2016)
Artículo / Artikulua,
Based on the definition of admissible order for
interval-valued Atanassov intuitionistic fuzzy sets, we study
OWA operators in these sets distinguishing between the weights
associated to the membership and those associated ...
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 ...
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, ...
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 ...
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 ...
Improving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integrals
(IEEE, 2019)
info:eu-repo/semantics/article,
A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning method (FRM) since it infers the class predicted for new examples. A crucial stage in any FRM is the way in which the information ...
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 ...