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New optimality conditions for multiobjective fuzzy programming problems

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dc.contributor.authorOsuna-Gómez, Rafaela
dc.contributor.authorChalco-Cano, Yurilev
dc.contributor.authorRuíz-Garzón, Gabriel
dc.contributor.authorHernández-Jiménez, Beatriz
dc.date.accessioned2024-01-26T10:07:58Z
dc.date.available2024-01-26T10:07:58Z
dc.date.issued2020-05-01
dc.descriptionFECYT -- AVANCES EN TEORIA DE OPTIMIZACION: APLICACION EN ENTORNOS DIFUS...
dc.description.abstractIn this paper we study fuzzy multiobjective optimization problems defined for $n$ variables. Based on a new $p$-dimensional fuzzy stationary-point definition, necessary efficiency conditions are obtained. And we prove that these conditions are also sufficient under new fuzzy generalized convexity notions. Furthermore, the results are obtained under general differentiability hypothesis.
dc.description.sponsorshipDpto. Economía, Métodos Cuantitativos e Hª Económica
dc.format.mimetypeapplication/pdf
dc.identifier.citationIranian Journal of Fuzzy Systems Volume 17, Number 3, (2020), pp. 19-31
dc.identifier.doi10.22111/IJFS.2020.5345
dc.identifier.urihttps://hdl.handle.net/10433/19483
dc.language.isoen
dc.publisherUniversity of Sistan and Baluchestan
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rightsEditorial
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMultiobjective fuzzy optimization
dc.subjectgeneralized differentiable fuzzy functions
dc.subjectfuzzy generalized convexity
dc.titleNew optimality conditions for multiobjective fuzzy programming problems
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication990b57a3-98e3-4b2d-88ea-2abbc8130866
relation.isAuthorOfPublication.latestForDiscovery990b57a3-98e3-4b2d-88ea-2abbc8130866

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