Type-(2, k) overlap indices

dc.contributor.authorRoldán López de Hierro, Antonio Francisco
dc.contributor.authorRoldán, Concepción
dc.contributor.authorTíscar, Miguel Ángel
dc.contributor.authorTakáč, Zdenko
dc.contributor.authorSantiago, Regivan
dc.contributor.authorBustince Sola, Humberto
dc.contributor.authorFernández Fernández, Francisco Javier
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2023-02-09T07:12:17Z
dc.date.available2023-07-14T23:00:14Z
dc.date.issued2022
dc.date.updated2023-02-08T09:03:03Z
dc.description.abstractAutomatic image detection is one of the most im- portant areas in computing due to its potential application in numerous real-world scenarios. One important tool to deal with that is called overlap indices. They were introduced as a procedure to provide the maximum lack of knowledge when comparing two fuzzy objects. They have been successfully applied in the following fields: image processing, fuzzy rule-based systems, decision making and computational brain interfaces. This notion of overlap indices is also necessary for applications in which type-2 fuzzy sets are required. In this paper we introduce the notion of type-(2, k) overlap index (k 0, 1, 2) in the setting of type-2 fuzzy sets. We describe both the reasons that have led to this notion and the relationships that naturally arise among the algebraic underlying structures. Finally, we illustrate how type- (2, k) overlap indices can be employed in the setting of fuzzy rule-based systems when the involved objects are type-2 fuzzy sets.en
dc.description.sponsorshipThis manuscript has been partially supported by Junta de Andalucía by Projects A-FQM-170-UGR20 (Program FEDER Andalucía 2014-2020) and FQM-365 (Andalusian CICYE), and also by Projects PID2020-119478GBI00 and PID2019-108392GB-I00 (AEI/10.13039/501100011033, Ministerio de Ciencia e Innovación), by CNPq (301618/2019-4), FAPERGS (19/2551- 0001660) and grant VEGA 1/0267/21.en
dc.embargo.lift2023-07-14
dc.embargo.terms2023-07-14
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHierro, A. F. R. L. de, Roldan, C., Tiscar, M. A., Takac, Z., Santiago, R. H. N., Dimuro, G. P., Fernandez, J., & Bustince, H. (2022). Type-(2, k) overlap indices. IEEE Transactions on Fuzzy Systems, 1-15.en
dc.identifier.doi10.1109/TFUZZ.2022.3188918
dc.identifier.issn1063-6706
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44677
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Transactions on Fuzzy Systems, 2022en
dc.relation.projectIDinfo:eu-repo/grantAgreement///PID2020-119478GBI00/
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/10.1109/TFUZZ.2022.3188918
dc.rights© 2022 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 work.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectDecision makingen
dc.subjectFuzzy setsen
dc.subjectFuzzy systemsen
dc.subjectImage processingen
dc.subjectIndexesen
dc.subjectOverlap functionen
dc.subjectOverlap indexen
dc.subjectPattern recognitionen
dc.subjectTopologyen
dc.subjectType-2 fuzzy seten
dc.titleType-(2, k) overlap indicesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication1bdd7a0e-704f-48e5-8d27-4486444f82c9
relation.isAuthorOfPublication741321a5-40af-41aa-bacb-5da283dd18ab
relation.isAuthorOfPublication4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54
relation.isAuthorOfPublication.latestForDiscovery1bdd7a0e-704f-48e5-8d27-4486444f82c9

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