Type-2 fuzzy entropy-sets

dc.contributor.authorMiguel Turullols, Laura de
dc.contributor.authorSantos, Helida
dc.contributor.authorSesma Sara, Mikel
dc.contributor.authorBedregal, Benjamin
dc.contributor.authorJurío Munárriz, Aránzazu
dc.contributor.authorBustince Sola, Humberto
dc.contributor.departmentAutomática y Computaciónes_ES
dc.contributor.departmentAutomatika eta Konputazioaeu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2017-09-01T09:04:55Z
dc.date.available2017-09-01T09:04:55Z
dc.date.issued2017
dc.description.abstractThe final goal of this study is to adapt the concept of fuzzy entropy of De Luca and Termini to deal with Type-2 Fuzzy Sets. We denote this concept Type-2 Fuzzy Entropy-Set. However, the construction of the notion of entropy measure on an infinite set, such us [0, 1], is not effortless. For this reason, we first introduce the concept of quasi-entropy of a Fuzzy Set on the universe [0, 1]. Furthermore, whenever the membership function of the considered Fuzzy Set in the universe [0, 1] is continuous, we prove that the quasi-entropy of that set is a fuzzy entropy in the sense of De Luca y Termini. Finally, we present an illustrative example where we use Type-2 Fuzzy Entropy-Sets instead of fuzzy entropies in a classical fuzzy algorithm.en
dc.description.sponsorshipThis work was supported by the Research Service of Universidad Publica de Navarra as well as by the projects TIN2013-40765-P and TIN2012-32482 of the Spanish Ministry of Science and by the Brazilian funding agencies CNPq (under Proc. No. 480832/2011-0 and No. 307681/2012-2) and CAPES (under Proc. No. 5778/2014-00).en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationL. De Miguel et al., "Type-2 fuzzy entropy sets," in IEEE Transactions on Fuzzy Systems, vol. 25, no. 4, pp. 993-1005, Aug. 2017. doi: 10.1109/TFUZZ.2016.2593497en
dc.identifier.doi10.1109/TFUZZ.2016.2593497
dc.identifier.issn1063-6706 IPrint)
dc.identifier.issn1941-0034 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/25494
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Transactions on Fuzzy Systems, vol. 25, no. 4, pp. 993-1005, Aug. 2017en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2013-40765-P/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2012-32482/ES/
dc.relation.publisherversionhttps://doi.org/10.1109/TFUZZ.2016.2593497
dc.rights© 2017 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 works.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectType-2 fuzzy setsen
dc.subjectQuasi-entropy measureen
dc.subjectEntropy measureen
dc.titleType-2 fuzzy entropy-setsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationb6673ff1-b94d-4852-be93-90b30a9c8555
relation.isAuthorOfPublication3a541442-8e82-49d5-903d-60e0aedbc1f6
relation.isAuthorOfPublicatione3f0cca3-0e2f-46b7-b476-5cda361e0efe
relation.isAuthorOfPublication73222e0e-83db-4a05-ac1e-e5caff9fda6b
relation.isAuthorOfPublication1bdd7a0e-704f-48e5-8d27-4486444f82c9
relation.isAuthorOfPublication.latestForDiscoveryb6673ff1-b94d-4852-be93-90b30a9c8555

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
entropiaTipo2-13062016.pdf
Size:
1.27 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.78 KB
Format:
Item-specific license agreed to upon submission
Description: