Listar Artículos de revista ISC - ISC aldizkari artikuluak por tema "Choquet integral"
Mostrando ítems 1-10 de 10
-
d-Choquet integrals: Choquet integrals based on dissimilarities
Bustince Sola, Humberto
; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel ; Altalhi, A. H.; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Takáč, Zdenko (Elsevier, 2020)
Artículo / Artikulua 
The paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition ... -
Discrete IV dG-Choquet integrals with respect to admissible orders
Takáč, Zdenko; Uriz Martín, Mikel Xabier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel ; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
In this work, we introduce the notion of dG-Choquet integral, which generalizes the discrete Choquet integral replacing, in the first place, the difference between inputs represented by closed subintervals of the unit ... -
Generalized decomposition integral
Horanská, Lubomíra; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Mesiar, Radko (Elsevier, 2020)
Artículo / Artikulua
In this paper we propose two different generalizations of the decomposition integral introduced by Even and Lehrer. We modify the product operator merging a given capacity and the decomposition coefficients by some more ... -
Improving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integrals
Lucca, Giancarlo; Pereira Dimuro, Graçaliz ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto ; Bedregal, Benjamin ; Sanz Delgado, José Antonio (IEEE, 2019)
Artículo / Artikulua
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 ... -
The interval-valued Choquet integral based on admissible permutations
Paternain Dallo, Daniel ; Miguel Turullols, Laura de ; Ochoa Lezaun, Gustavo ; Lizasoain Iriso, María Inmaculada ; Mesiar, Radko; Bustince Sola, Humberto (IEEE, 2018)
Artículo / Artikulua
Aggregation or fusion of interval data is not a trivial task, since the necessity of arranging data arises in many aggregation functions, such as OWA operators or the Choquet integral. Some arranging procedures have been ... -
Multivalued contexts associated with criteria
Alcalde, Cristina; Burusco Juandeaburre, Ana (Taylor & Francis, 2018)
Artículo / Artikulua
We are interested in the study of L-fuzzy contexts taking into account different criteria. These contexts arise when we want to analyze the relationship between objects and attributes from different points of view. ... -
A proposal for tuning the α parameter in CαC-integrals for application in fuzzy rule-based classification systems
Lucca, Giancarlo; Sanz Delgado, José Antonio ; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Bustince Sola, Humberto (Springer, 2020)
Artículo / Artikulua
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 ... -
Reduction of the size of L-fuzzy contexts. A tool for differential diagnoses of diseases
Alcalde, Cristina; Burusco Juandeaburre, Ana (Taylor & Francis, 2019)
Artículo / Artikulua
Information extraction from an L-fuzzy context becomes a hard problem when we work with a large set of objects and/or attributes. The goal of this paper is to present two different and complementary techniques to reduce ... -
A supervised fuzzy measure learning algorithm for combining classifiers
Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (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 ... -
Unsupervised fuzzy measure learning for classifier ensembles from coalitions performance
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Domínguez Catena, Iris ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Artículo / Artikulua
In Machine Learning an ensemble refers to the combination of several classifiers with the objective of improving the performance of every one of its counterparts. To design an ensemble two main aspects must be considered: ...
