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Evolution in time of L-fuzzy context sequences
(Elsevier, 2016)
Artículo / Artikulua,
In this work, we consider a complete lattice L and we study L-fuzzy context sequences which
represent the evolution in time of an L-fuzzy context. To carry out this study, in the first part of
the paper, we consider n-ary ...
Unsymmetrical basic uncertain information with some decision-making methods
(IOS Press, 2022)
Artículo / Artikulua,
Motivated by a specific decision-making situation, this work proposes the concept and definition of unsymmetrical basic uncertain information which is a further generalization of basic uncertain information and can model ...
Applying d-XChoquet integrals in classification problems
(IEEE, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Several generalizations of the Choquet integral have been applied in the Fuzzy Reasoning Method (FRM) of Fuzzy Rule-Based Classification Systems (FRBCS's) to improve its performance. Additionally, to achieve that goal, ...
Ordered directional monotonicity in the construction of edge detectors
(Elsevier, 2021)
info:eu-repo/semantics/article,
In this paper we provide a specific construction method of ordered directionally monotone functions. We show that the functions obtained with this construction method can be used to build edge detectors for grayscale images. ...
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. ...
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 ...
A supervised fuzzy measure learning algorithm for combining classifiers
(Elsevier, 2023)
Artículo / Artikulua,
Fuzzy measure-based aggregations allow taking interactions among coalitions of the input sources into account. Their main drawback when applying them in real-world problems, such as combining classifier ensembles, is how ...
A generalization of the Sugeno integral to aggregate interval-valued data: an application to brain computer interface and social network analysis
(Elsevier, 2022)
Artículo / Artikulua,
Intervals are a popular way to represent the uncertainty related to data, in which we express the vagueness of each observation as the width of the interval. However, when using intervals for this purpose, we need to use ...
Application and comparison of CC-integrals in business group decision making
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Optimized decisions is required by businesses (analysts) if
they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved ...
On construction methods of (interval-valued) general grouping functions
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Recently, several theoretical and applied studies on grouping functions and overlap functions appeared in the literature, mainly because of their flexibility when comparing them with the popular aggregation operators ...