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Mostrando ítems 11-20 de 97
CC-separation measure applied in business group decision making
(SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ...
Distance transformations based on ordered weighted averaging operators
(University of Hawaii Press, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Binary image comparison has been a study subject for a long time, often rendering in context-specific solutions that depend upon the type of visual contents in the binary images. Distance transformations have been a recurrent ...
Combinations of affinity functions for different community detection algorithms in social networks
(University of Hawaii Press, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Social network analysis is a popular discipline among the social and behavioural sciences, in which the relationships between different social entities are modelled as a network. One of the most popular problems in social ...
Sobre órdenes admisibles en el conjunto de números borrosos discretos y su aplicación en problemas de toma de decisiones
(Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena,
Este trabajo es un resumen del artículo [1] publicado
en Mathematics para su presentación en la Multiconferencia CAEPIA’21 KeyWorks.
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 ...
Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks
(Elsevier, 2023)
Artículo / Artikulua,
Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural
Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in
a ...
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 ...
Measures of embedding for interval-valued fuzzy sets
(Elsevier, 2023)
Artículo / Artikulua,
Interval-valued fuzzy sets are a generalization of classical fuzzy sets where the membership values are intervals. The epistemic interpretation of interval-valued fuzzy sets assumes that there is one real-valued membership ...
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; ...