Extension of restricted equivalence functions and similarity measures for type-2 fuzzy sets

dc.contributor.authorMiguel Turullols, Laura de
dc.contributor.authorSantiago, Regivan
dc.contributor.authorWagner, Christian
dc.contributor.authorGaribaldi, Jonathan M.
dc.contributor.authorTakáč, Zdenko
dc.contributor.authorRoldán López de Hierro, Antonio Francisco
dc.contributor.authorBustince Sola, Humberto
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2022-05-10T11:00:36Z
dc.date.available2022-12-17T00:00:17Z
dc.date.issued2021
dc.description.abstractIn this work we generalize the notion of restricted equivalence function for type-2 fuzzy sets, leading to the notion of extended restricted equivalence functions. We also study how under suitable conditions, these new functions recover the standard axioms for restricted equivalence functions in the real setting. Extended restricted equivalence functions allow us to compare any two general type-2 fuzzy sets and to generate a similarity measure for type-2 fuzzy sets. The result of this similarity is a fuzzy set on the same referential set (i.e., domain) as the considered type-2 fuzzy set. The latter is crucial for applications such as explainable AI and decision making, as it enables an intuitive interpretation of the similarity within the domain-specific context of the fuzzy sets. We show how this measure can be used to compare type-2 fuzzy sets with different membership functions in such a way that the uncertainty linked to type-2 fuzzy sets is not lost. This is achieved by generating a fuzzy set rather than a single numerical value. Furthermore, we also show how to obtain a numerical value for discrete referential sets.en
dc.description.sponsorshipThis work has been supported by the Research Services of Universidad Pública de Navarra as well as by the Projects PID2019-108392GBI00, financed by MCIN/AEI/10.13039/501100011033), TIN2017-89517-P, by grant VEGA 1/0267/21 and UK EPSRC grant EP/P011918/1.en
dc.embargo.lift2022-12-17
dc.embargo.terms2022-12-17
dc.format.extent12 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationL. De Miguel et al., 'Extension of restricted equivalence functions and similarity measures for type-2 fuzzy sets,' in IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2021.3136349.en
dc.identifier.doi10.1109/TFUZZ.2021.3136349
dc.identifier.issn1941-0034
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/42915
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Transactions on Fuzzy Systems (2021)en
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.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-89517-P/ES/
dc.relation.publisherversionhttps://doi.org/10.1109/TFUZZ.2021.3136349
dc.rights© 2021 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.subjectType-2 fuzzy setsen
dc.subjectRestricted equivalence functionsen
dc.subjectSimilarity measuresen
dc.subjectUncertaintyen
dc.subjectInformation lossen
dc.subjectExplainable AIen
dc.titleExtension of restricted equivalence functions and similarity measures for type-2 fuzzy setsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublication1bdd7a0e-704f-48e5-8d27-4486444f82c9
relation.isAuthorOfPublication.latestForDiscoveryb6673ff1-b94d-4852-be93-90b30a9c8555

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