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dc.creatorBarrenechea Tartas, Edurnees_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.creatorFernández Fernández, Francisco Javieres_ES
dc.creatorPaternain Dallo, Danieles_ES
dc.creatorSanz Delgado, José Antonioes_ES
dc.date.accessioned2015-07-27T10:01:30Z
dc.date.available2015-07-27T10:01:30Z
dc.date.issued2013
dc.identifier.issn2075-1680
dc.identifier.urihttps://hdl.handle.net/2454/17687
dc.description.abstractIn this paper we present a new fuzzy reasoning method in which the Choquet integral is used as aggregation function. In this manner, we can take into account the interaction among the rules of the system. For this reason, we consider several fuzzy measures, since it is a key point on the subsequent success of the Choquet integral, and we apply the new method with the same fuzzy measure for all the classes. However, the relationship among the set of rules of each class can be different and therefore the best fuzzy measure can change depending on the class. Consequently, we propose a learning method by means of a genetic algorithm in which the most suitable fuzzy measure for each class is computed. From the obtained results it is shown that our new proposal allows the performance of the classical fuzzy reasoning methods of the winning rule and additive combination to be enhanced whenever the fuzzy measure is appropriate for the tackled problem.en
dc.description.sponsorshipThis work was partially supported by the Spanish Ministry of Science and Technology under projects TIN2010-15055 and TIN2011-29520.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofAxioms 2013, 2, 208-223en
dc.rights© 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license.en
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectFuzzy rule-based classification systemsen
dc.subjectChoquet integralen
dc.subjectFuzzy measureen
dc.subjectGenetic algorithmen
dc.titleUsing the Choquet integral in the fuzzy reasoning method of fuzzy rule-based classification systemsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Automática y Computaciónes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Automatika eta Konputazioa Sailaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.3390/axioms2020208
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/6PN/TIN2010-15055en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/6PN/TIN2011-29520en
dc.relation.publisherversionhttps://dx.doi.org/10.3390/axioms2020208
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen


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© 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution license.
Except where otherwise noted, this item's license is described as © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license.