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Improving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integrals

dc.contributor.authorLucca, Giancarlo
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.authorFernández Fernández, Francisco Javier
dc.contributor.authorBustince Sola, Humberto
dc.contributor.authorCallejas Bedregal, Benjamin
dc.contributor.authorSanz Delgado, José Antonio
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.date.accessioned2019-06-25T08:05:48Z
dc.date.available2020-01-01T00:00:10Z
dc.date.issued2019
dc.description.abstractA 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 given by the fired rules during the inference process is aggregated. A widely used FRM is the winning rule, which applies the maximum to accomplish this aggregation. The maximum is an averaging operator, which means that its result is within the range delimited by the minimum and the maximum of the aggregated values. Recently, new averaging operators based on generalizations of the Choquet integral have been proposed to perform this aggregation process. However, the most accurate FRBCSs use the FRM known as additive combination that considers the normalized sum as the aggregation operator, which is nonaveraging. For this reason, this paper is aimed at introducing a new nonaveraging operator named C-F1F2-integral, which is a generalization of the Choquet-like Copula-based integral (CC-integral). C-F1F2-integrals present the desired properties of an aggregation-like operator since they satisfy appropriate boundary conditions and have some kind of increasingness property. We show that C-F1F2 -integrals, when used to cope with classification problems, enhance the results of the previous averaging generalizations of the Choquet integral and provide competitive results (even better) when compared with state-of-the-art FRBCSs.en
dc.description.sponsorshipThis work was supported in part by CNPq under Proc. 233950/2014-1, Proc. 306970/2013-9, and Proc. 307781/2016-0, in part by the Spanish Ministry of Science and Technology under Project TIN2016-77356-P (AEI/FEDER, UE), and in part by Caixa and Fundacion Caja Navarra of Spain.en
dc.embargo.lift2020-01-01
dc.embargo.terms2020-01-01
dc.format.extent11 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1109/TFUZZ.2018.2871000
dc.identifier.issn1941-0034
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/33499
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Transactions on Fuzzy Systems, 27 (1), 124-134en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-Pen
dc.relation.publisherversionhttps://doi.org/10.1109/TFUZZ.2018.2871000
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worken
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectChoquet-like Copula-based integrals (CC-integrals)en
dc.subjectChoquet integralen
dc.subjectC-F1F2-integralsen
dc.subjectFuzzy rule based classification systemsen
dc.subjectOrdered directionally (OD) monotone functionsen
dc.titleImproving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integralsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dspace.entity.typePublication
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