On the generalizations of the Choquet integral for application in FRBCs

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dc.contributor.authorLucca, Giancarlo
dc.contributor.authorBorges, Eduardo N.
dc.contributor.authorBerri, Rafael A.
dc.contributor.authorEmmendorfer, Leonardo R.
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.authorDa Cruz Asmus, Tiago
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2022-05-10T11:00:32Z
dc.date.available2022-11-28T00:00:13Z
dc.date.issued2021
dc.description.abstractAn effective way to cope with classification problems, among others, is by using Fuzzy Rule-Based Classification Systems (FRBCSs). These systems are composed by two main components, the Knowledge Base (KB) and the Fuzzy Reasoning Method (FRM). The FRM is responsible for performing the classification of new examples based on the information stored in the KB. A key point in the FRM is how the information given by the fired fuzzy rules is aggregated. Precisely, the aggregation function is the component that differs from the two most widely used FRMs in the specialized literature. In this paper we provide a revision of the literature discussing the generalizations of the Choquet integral that has been applied in the FRM of a FRBCS. To do so, we consider an analysis of different generalizations, by t-norms, copulas, and by F functions. Also, the main contributions of each generalization are discussed.en
dc.description.sponsorshipSupported by PNPD/CAPES (process. 464880/2019-00), FAPERGS (19/2551-0001279-9, 19/2551-0001660), CNPq (301618/2019-4), the Spanish Ministry of Science and Technology (TIN2016-77356-P, PID2019-108392GB I00 (AEI/10.13039/501100 011033)).en
dc.embargo.lift2022-11-28
dc.embargo.terms2022-11-28
dc.format.extent16 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1007/978-3-030-91702-9_33
dc.identifier.isbn978-3-030-91702-9 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/42903
dc.language.isoengen
dc.publisherSpringeren
dc.relation.ispartofBritto, A., Valdivia Delgado, K. (eds) Intelligent Systems. BRACIS 2021. Lecture Notes in Computer Science(), vol 13073. Springer, Cham. https://doi.org/10.1007/978-3-030-91702-9en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-P/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-030-91702-9_33
dc.rights© Springer Nature Switzerland AG 2021en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectChoquet integralen
dc.subjectGeneralizations Choquet integralen
dc.subjectPre-aggregation functionen
dc.titleOn the generalizations of the Choquet integral for application in FRBCsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication8c79084b-8af8-4913-a958-52ca175bd136
relation.isAuthorOfPublication4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54
relation.isAuthorOfPublication64b6af0b-c005-4e1d-9eef-83f80e2ec8a4
relation.isAuthorOfPublication.latestForDiscovery4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54

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