cris.boxmetadata.label.title
New optimality conditions for multiobjective fuzzy programming problems
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.may 2020
cris.boxmetadata.label.accesslevel
metadata only access
cris.boxmetadata.label.resourcetype
journal article
cris.boxmetadata.label.authors
Universidad de Tarapacá
cris.boxmetadata.label.publisher
University of Sistan and Baluchestan
cris.boxmetadata.label.abstract
In 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.
cris.boxmetadata.label.citationstartpage
19
cris.boxmetadata.label.citationendpage
31
cris.boxmetadata.label.volume
17
cris.boxmetadata.label.issue
3
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Matemáticas
cris.boxmetadata.label.subjects
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85084194657
cris.boxmetadata.label.source
Iranian Journal of Fuzzy Systems
cris.boxmetadata.label.containerissn
17350654
cris.boxmetadata.label.sponsor
The authors wish to express their appreciation for several excellent suggestions for improvements in this paper made by the referees. The research in this paper has been supported by Fondecyt-Chile, project 1151154 and by Ministerio de Economía y Competitividad, Spain, through grant MINECO/FEDER(UE) MTM2015-66185-P.
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