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dc.contributor.authorHernández-Varela, Pablo [Univ Mayor, Nucleo Matemat Fis & Estadist, Manuel Montt 318, Santiago, Chile]es_CL
dc.contributor.authorTorres-Blanc, Carmenes_CL
dc.contributor.authorCubillo, Susanaes_CL
dc.date.accessioned2020-04-08T14:11:55Z
dc.date.accessioned2020-04-13T18:12:43Z
dc.date.available2020-04-08T14:11:55Z
dc.date.available2020-04-13T18:12:43Z
dc.date.issued2018es_CL
dc.identifier.citationTorres-Blanc, C., Hernández-Varela, P., & Cubillo, S. (2018). Self-contradiction for type-2 fuzzy sets whose membership degrees are normal and convex functions. Fuzzy Sets and Systems, 352, 73-91.es_CL
dc.identifier.issn0165-0114es_CL
dc.identifier.issn1872-6801es_CL
dc.identifier.urihttps://doi.org/10.1016/j.fss.2017.12.015es_CL
dc.identifier.urihttp://repositorio.umayor.cl/xmlui/handle/sibum/6180
dc.description.abstractIn order to detect contradictory information or to avoid conflicting outputs in processes of inference, the contradiction has been studied in the framework of fuzzy logic. It was found that a set A is N -self-contradictory with respect to a given negation N if A implies its negation N (A). Further, A is self-contradictory if it is N -self-contradictory for some strong negation N Similar definitions were found in the framework of the Atanassov's intuitionistic fuzzy sets, following the same idea: a set is contradictory if it involves its own negation. Nevertheless, in some systems or applications the information is given through type-2 fuzzy sets, where the degree in which an element belongs to the set is just a label of the linguistic variable"TRUTH", that is, the degree is given by a fuzzy set in the universe [0,1]. Then, since in these systems contradictions could also appear, it might be wise to do a similar study in this case. The purpose of this article is to establish definitions of N -self-contradiction and self-contradiction in the framework of the type-2 fuzzy sets. It is also the intention to provide some criteria to verify these properties in the special case in which the membership degrees are in L, the set of the normal and convex functions from [0,1] to [0,1]. In order to do this, the strong negations in L given in previous papers, N-n, associated with strong negations on [0,1], n, are used. (C) 2018 Elsevier B.V. All rights reserved.es_CL
dc.description.sponsorshipUPM (Spain); U. MAYOR (Chile)es_CL
dc.description.sponsorshipThis paper was partially supported by UPM (Spain) and U. MAYOR (Chile).es_CL
dc.language.isoenes_CL
dc.publisherELSEVIER SCIENCE BVes_CL
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceFuzzy Sets Syst., DIC 2018. 352: p. 73-91
dc.subjectComputer Science, Theory & Methods; Mathematics, Applied; Statistics & Probabilityes_CL
dc.titleSelf-contradiction for type-2 fuzzy sets whose membership degrees are normal and convex functionses_CL
dc.typeArtículoes_CL
umayor.facultadCIENCIASes_CL
umayor.politicas.sherpa/romeoSIN INFORMACIÓNes_CL
umayor.indexadoWOS:000445215800005es_CL
umayor.indexadoSIN PMIDes_CL
dc.identifier.doiDOI: 10.1016/j.fss.2017.12.015es_CL]
umayor.indicadores.wos-(cuartil)Q1es_CL
umayor.indicadores.scopus-(scimago-sjr)SCIMAGO/ INDICE H: 150 Hes_CL


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