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On the Newton method for solving fuzzy optimization problems

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dc.contributor.authorChalco-Cano, Y.
dc.contributor.authorSilva, G. N. [UNESP]
dc.contributor.authorRufian-Lizana, A.
dc.contributor.institutionUniversidad de Tarapacá
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidad de Sevilla
dc.date.accessioned2015-10-21T13:14:46Z
dc.date.available2015-10-21T13:14:46Z
dc.date.issued2015-08-01
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 corrects the Newton method previously proposed in the literature. (C) 2015 Elsevier B.V. All rights reserved.en
dc.description.affiliationInstituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica, Chile
dc.description.affiliationDepartamento de Estadística e I.O., Universidad de Sevilla, Spain
dc.description.affiliationUnespInstituto de Biociências, Letras e Ciências Exatas, UNESP – Univ. Estadual Paulista, Câmpus de São José do Rio Preto, Departamento de Matemática Aplicada, São José do Rio Preto, SP, Brazil
dc.description.sponsorshipFONDECYT-Chile
dc.description.sponsorshipMinisterio de Ciencia y Tecnologia (Spain)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFONDECYT-Chile: 1120665
dc.description.sponsorshipIdFONDECYT-Chile: 1120674
dc.description.sponsorshipIdMinisterio de Ciencia y Tecnologia (Spain): MTM 2010-15383
dc.description.sponsorshipIdCNPq: 309335/2012-4
dc.description.sponsorshipIdCNPq: 479109/2013-3
dc.description.sponsorshipIdFAPESP: 2013/07375-0
dc.format.extent60-69
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0165011415000640
dc.identifier.citationFuzzy Sets And Systems. Amsterdam: Elsevier Science Bv, v. 272, p. 60-69, 2015.
dc.identifier.doi10.1016/j.fss.2015.02.001
dc.identifier.issn0165-0114
dc.identifier.lattes3638688119433520
dc.identifier.urihttp://hdl.handle.net/11449/128869
dc.identifier.wosWOS:000353512500004
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofFuzzy Sets And Systems
dc.relation.ispartofjcr2.675
dc.relation.ispartofsjr1,138
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectFuzzy optimizationen
dc.subjectGeneralized Hukuhara differentiabilityen
dc.subjectNewton methoden
dc.titleOn the Newton method for solving fuzzy optimization problemsen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.lattes3638688119433520
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentMatemática Aplicada - IBILCEpt

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São José do Rio Preto - IBILCE - Instituto de Biociências, Letras e Ciências Exatas