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Different optimum notions for fuzzy functions and optimality conditions associated

dc.contributor.authorOsuna Gómez, Rafaela
dc.contributor.authorHernández Jiménez, Beatriz
dc.contributor.authorChalco-Cano, Yurilev
dc.contributor.authorRuiz Garzón, Gabriel 
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2023-12-01T08:15:50Z
dc.date.available2023-12-01T08:15:50Z
dc.date.issued2018
dc.identifier.issn1568-4539
dc.identifier.urihttp://hdl.handle.net/10498/29696
dc.description.abstractFuzzy numbers have been applied on decision and optimization problems in uncertain or imprecise environments. In these problems, the necessity to define optimal notions for decision-maker’s preferences as well as to prove necessary and sufficient optimality conditions for these optima are essential steps in the resolution process of the problem. The theoretical developments are illustrated and motivated with several numerical examples.es_ES
dc.description.sponsorshipThe research in this paper has been supported by MTM2015-66185 (MINECO/FEDER, UE) and Fondecyt-Chile, Project 1151154.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAttribution 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceFuzzy Optimization and Decision Making- 2018, vol. 17, pp. 177-193es_ES
dc.subjectFuzzy numberses_ES
dc.subjectCrisp order relationes_ES
dc.subjectInterval order relationes_ES
dc.subjectDifferentiable fuzzy mappingses_ES
dc.subjectStationary fuzzy pointes_ES
dc.subjectFuzzy optimizationes_ES
dc.titleDifferent optimum notions for fuzzy functions and optimality conditions associatedes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1007/s10700-017-9269-9
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2015-66185es_ES
dc.type.hasVersionVoRes_ES


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Attribution 4.0 Internacional
This work is under a Creative Commons License Attribution 4.0 Internacional