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New optimality conditions for multiobjective fuzzy programming problems

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IJFS_Volume 17_Issue 3_Pages 19-31.pdf (404.63 KB)

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URI: https://hdl.handle.net/10433/19483
DOI: 10.22111/IJFS.2020.5345

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2020-05-01

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Osuna-Gómez, Rafaela
Chalco-Cano, Yurilev
Ruíz-Garzón, Gabriel

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University of Sistan and Baluchestan
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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.

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FECYT -- AVANCES EN TEORIA DE OPTIMIZACION: APLICACION EN ENTORNOS DIFUS...

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Multiobjective fuzzy optimization
generalized differentiable fuzzy functions
fuzzy generalized convexity

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Iranian Journal of Fuzzy Systems Volume 17, Number 3, (2020), pp. 19-31

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