dc.creator | Chalco Cano, Yurilev | es |
dc.creator | Nunes Silva, Geraldo | es |
dc.creator | Rufián Lizana, Antonio | es |
dc.date.accessioned | 2016-10-26T07:43:52Z | |
dc.date.available | 2016-10-26T07:43:52Z | |
dc.date.issued | 2015-08-01 | |
dc.identifier.citation | Chalco 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.issn | 0165-0114 | es |
dc.identifier.uri | http://hdl.handle.net/11441/48135 | |
dc.description.abstract | In 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.sponsorship | Fondo Nacional de Desarrollo Científico y Tecnológico (Chile) | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología | es |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil) | es |
dc.description.sponsorship | Centro de Pesquisa em Matemática Aplicada à Indústria (Fundação de Amparo à Pesquisa do Estado de São Paulo) | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Fuzzy Sets and Systems, 272 (1), 60-69. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Fuzzy optimization | es |
dc.subject | Generalized Hukuhara differentiability | es |
dc.subject | Newton method | es |
dc.title | On the Newton method for solving fuzzy optimization problems | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.projectID | 1120665 | es |
dc.relation.projectID | 1120674 | es |
dc.relation.projectID | MTM 2010-15383 | es |
dc.relation.projectID | 309335/2012-4 | es |
dc.relation.projectID | 479109/2013-3 | es |
dc.relation.projectID | 2013/07375-0 | es |
dc.relation.publisherversion | http://ac.els-cdn.com/S0165011415000640/1-s2.0-S0165011415000640-main.pdf?_tid=409f98c8-9b4f-11e6-b423-00000aab0f27&acdnat=1477467717_5e978414006348550e820218c591d491 | es |
dc.identifier.doi | 10.1016/j.fss.2015.02.001 | es |
dc.contributor.group | Universidad de Sevilla. FQM153: Estadística e Investigación Operativa | es |
idus.format.extent | 16 p. | es |
dc.journaltitle | Fuzzy Sets and Systems | es |
dc.publication.volumen | 272 | es |
dc.publication.issue | 1 | es |
dc.publication.initialPage | 60 | es |
dc.publication.endPage | 69 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/48135 | |