General overlap functions

dc.contributor.authorMiguel Turullols, Laura de
dc.contributor.authorGómez, Daniel
dc.contributor.authorTinguaro, Javier
dc.contributor.authorMontero, Javier
dc.contributor.authorBustince Sola, Humberto
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.authorSanz, Jose Antonio
dc.contributor.departmentAutomatika eta Konputazioaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentAutomática y Computaciónes_ES
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa.es
dc.date.accessioned2019-06-18T09:12:18Z
dc.date.available2021-10-01T23:00:12Z
dc.date.issued2019
dc.description.abstractAs a generalization of bivariate overlap functions, which measure the degree of overlapping (intersection for non-crisp sets) of n different classes, in this paper we introduce the concept of general overlap functions. We characterize the class of general overlap functions and include some construction methods by means of different aggregation and bivariate overlap functions. Finally, we apply general overlap functions to define a new matching degree in a classification problem. We deduce that the global behavior of these functions is slightly better than some other methods in the literature.en
dc.description.sponsorshipThe work has been supported by the Research Services of the Universidad Publica de Navarra, the research projects TIN2016-77356-P (AEI/FEDER, UE) and TIN2015-66471-P from the Government of Spain and by the Brazilian National Counsel of Technological and Scientific Development CNPq (Proc. 233950/2014-1, 306970/2013-9, 307781/2016-0) and by Caixa and Fundación Caja Navarra of Spain.en
dc.embargo.lift2021-10-01
dc.embargo.terms2021-10-01
dc.format.extent19 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1016/j.fss.2018.08.003
dc.identifier.issn0165-0114
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/33393
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofFuzzy Sets and Systems 372 (2019) 81-96en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356/
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2015-66471-P/ES/
dc.relation.publisherversionhttps://doi.org/10.1016/j.fss.2018.08.003
dc.relation.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights© 2018 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectOverlap functionsen
dc.subjectGeneral overlap functionsen
dc.subjectAggregation functionsen
dc.titleGeneral overlap functionsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublication4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54
relation.isAuthorOfPublication.latestForDiscoveryb6673ff1-b94d-4852-be93-90b30a9c8555

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