New optimality conditions for multiobjective fuzzy programming problems

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osuna gomez R.; hernandez jimenez b.; Chalco Cano Y.; Ruiz Garzon G.

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Journal Paper

Paper Information

Journal: Iranian Journal of Fuzzy Systems Year:2020 | Volume:17 | Issue:3 Page(s): 19-31

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Information Journal Paper

Title

New optimality conditions for multiobjective fuzzy programming problems

Author(s)

osuna gomez R. | hernandez jimenez b. | Chalco Cano Y. | Ruiz Garzon G. | Issue Writer Certificate

Keywords

Multiobjective fuzzy optimizationQ2

generalized differentiable fuzzy functionsQ2

fuzzy generalized convexityQ2

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.

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APA: Copy

osuna gomez, R., hernandez jimenez, b., Chalco Cano, Y., & Ruiz Garzon, G.. (2020). New optimality conditions for multiobjective fuzzy programming problems. IRANIAN JOURNAL OF FUZZY SYSTEMS, 17(3 ), 19-31. SID. https://sid.ir/paper/375746/en

Vancouver: Copy

osuna gomez R., hernandez jimenez b., Chalco Cano Y., Ruiz Garzon G.. New optimality conditions for multiobjective fuzzy programming problems. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2020;17(3 ):19-31. Available from: https://sid.ir/paper/375746/en

IEEE: Copy

R. osuna gomez, b. hernandez jimenez, Y. Chalco Cano, and G. Ruiz Garzon, “New optimality conditions for multiobjective fuzzy programming problems,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 17, no. 3 , pp. 19–31, 2020, [Online]. Available: https://sid.ir/paper/375746/en

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