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dc.creatorChalco Cano, Yurileves
dc.creatorNunes Silva, Geraldoes
dc.creatorRufián Lizana, Antonioes
dc.date.accessioned2016-10-26T07:43:52Z
dc.date.available2016-10-26T07:43:52Z
dc.date.issued2015-08-01
dc.identifier.citationChalco Cano, Y., Nunes Silva, G. y Rufián Lizana, A. (2015). On the Newton method for solving fuzzy optimization problems. Fuzzy Sets and Systems, 272 (1), 60-69.
dc.identifier.issn0165-0114es
dc.identifier.urihttp://hdl.handle.net/11441/48135
dc.description.abstractIn this article we consider optimization problems where the objectives are fuzzy functions (fuzzy-valued functions). For this class of fuzzy optimization problems we discuss the Newton method to find a non-dominated solution. For this purpose, we use the generalized Hukuhara differentiability notion, which is the most general concept of existing differentiability for fuzzy functions. This work improves and correct the Newton Method previously proposed in the literature.es
dc.description.sponsorshipFondo Nacional de Desarrollo Científico y Tecnológico (Chile)es
dc.description.sponsorshipMinisterio de Ciencia y Tecnologíaes
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil)es
dc.description.sponsorshipCentro de Pesquisa em Matemática Aplicada à Indústria (Fundação de Amparo à Pesquisa do Estado de São Paulo)es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofFuzzy Sets and Systems, 272 (1), 60-69.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFuzzy optimizationes
dc.subjectGeneralized Hukuhara differentiabilityes
dc.subjectNewton methodes
dc.titleOn the Newton method for solving fuzzy optimization problemses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.relation.projectID1120665es
dc.relation.projectID1120674es
dc.relation.projectIDMTM 2010-15383es
dc.relation.projectID309335/2012-4es
dc.relation.projectID479109/2013-3es
dc.relation.projectID2013/07375-0es
dc.relation.publisherversionhttp://ac.els-cdn.com/S0165011415000640/1-s2.0-S0165011415000640-main.pdf?_tid=409f98c8-9b4f-11e6-b423-00000aab0f27&acdnat=1477467717_5e978414006348550e820218c591d491es
dc.identifier.doi10.1016/j.fss.2015.02.001es
dc.contributor.groupUniversidad de Sevilla. FQM153: Estadística e Investigación Operativaes
idus.format.extent16 p.es
dc.journaltitleFuzzy Sets and Systemses
dc.publication.volumen272es
dc.publication.issue1es
dc.publication.initialPage60es
dc.publication.endPage69es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/48135

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