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Similarity measures, penalty functions, and fuzzy entropy from new fuzzy subsethood measures

dc.contributor.authorSantos, H.
dc.contributor.authorCouso Blanco, Inés 
dc.contributor.authorBedregal, B.
dc.contributor.authorTakác, Z.
dc.contributor.authorMinárová, M.
dc.contributor.authorAsiain, A.
dc.contributor.authorBarrenechea, E.
dc.contributor.authorBustince, H.
dc.date.accessioned2019-08-21T07:33:38Z
dc.date.available2019-08-21T07:33:38Z
dc.date.issued2019
dc.identifier.citationInternational Journal of Intelligent Systems, 34(6), p. 1281-1302 (2019); doi:10.1002/int.22096
dc.identifier.issn0884-8173
dc.identifier.urihttp://hdl.handle.net/10651/52035
dc.description.sponsorshipThis study is supported by the Brazilian funding agencies CNPq (Ed. PQ and PVE, under theprocess numbers 307681/2012‐2 and 406503/2013‐3, respectively) and CAPES (under theprocess number 5778/2014‐00); by the Research Services of Universidad Publica de Navarra aswell as by the project TIN2016‐77356‐P (MINECO, UE/AEI, FEDER), by grant VEGA 1/0614/18and the Research & Development Operational Program for the project University ScientificPark STU in Bratislava, ITMS 26240220084
dc.format.extentp. 1281-1302
dc.language.isoeng
dc.relation.ispartofInternational Journal of Intelligent Systems
dc.rights© 2019 Wiley Periodicals, Inc.
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060921940&doi=10.1002%2fint.22096&partnerID=40&md5=fd53d2cd56e8d4abe976e32cf10d9780
dc.titleSimilarity measures, penalty functions, and fuzzy entropy from new fuzzy subsethood measures
dc.typejournal article
dc.identifier.doi10.1002/int.22096
dc.relation.projectIDMINECO/UE/AEI/FEDER/TIN2016‐77356‐P
dc.relation.publisherversionhttp://dx.doi.org/10.1002/int.22096


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