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On the notion of fuzzy dispersion measure and its application to triangular fuzzy numbers
(Elsevier, 2023)
Artículo / Artikulua,
In this paper, based on the analysis of the most widely used dispersion measure in the real context (namely, the variance), we introduce the notion of fuzzy dispersion measure associated to a finite set of data given by ...
Positron emission tomography image segmentation based on atanassov's intuitionistic fuzzy sets
(MDPI, 2022)
Artículo / Artikulua,
In this paper, we present an approach to fully automate tumor delineation in positron emission tomography (PET) images. PET images play a major role in medicine for in vivo imaging in oncology (PET images are used to ...
Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders
(Elsevier, 2020)
info:eu-repo/semantics/article,
In this work we study a new class of similarity measures between interval-valued fuzzy sets. The novelty of our approach lays, firstly, on the fact that we develop all the notions with respect to total orders of intervals; ...
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 ...
On the normalization of interval data
(MDPI, 2020)
info:eu-repo/semantics/article,
The impreciseness of numeric input data can be expressed by intervals. On the other hand, the normalization of numeric data is a usual process in many applications. How do we match the normalization with impreciseness on ...
Construction of admissible linear orders for interval-valued Atanassov intuitionistic fuzzy sets with an application to decision making
(Elsevier, 2015)
Artículo / Artikulua,
In this work we introduce a method for constructing linear orders between pairs of intervals by using
aggregation functions. We adapt this method to the case of interval-valued Atanassov intuitionistic fuzzy
sets and we ...
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 ...
Some properties of implications via aggregation functions and overlap functions
(Taylor & Francis, 2014)
Artículo / Artikulua,
In this work, using the identification between implication operators and aggregation functions, we study
the implication operators that are recovered from overlap functions. In particular, we focus in which
properties ...
An algorithm for group decision making using n -dimensional fuzzy sets, admissible orders and OWA operators
(Elsevier, 2017)
Artículo / Artikulua,
In this paper we propose an algorithm to solve group decision making problems using n -dimensional fuzzy sets, namely, sets in which the membership degree of each element to the set is given by an in- creasing tuple of n ...
The Krypteia ensemble: designing classifier ensembles using an ancient Spartan military tradition
(Elsevier, 2023)
Artículo / Artikulua,
In this work we propose a new algorithm to train and optimize an ensemble of classifiers. We call this algorithm the Krypteia ensemble, based on an ancient Spartan tradition designed to convert their most promising individuals ...