篇名 | Saddle Point Optimality Conditions in Fuzzy Optimization Problems |
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卷期 | 14:1 |
作者 | Hassan Mishmast Nehi 、 Ali Daryab |
頁次 | 011-021 |
關鍵字 | Comparable fuzzy mapping 、 Convex fuzzy mapping 、 Differentiable fuzzy mapping 、 Fuzzy Lagrange mapping 、 Fuzzy numbers 、 Saddle point 、 EI 、 SCI 、 SCIE 、 Scopus |
出刊日期 | 201203 |
The Karush-Kuhn-Tucker (KKT) optimality conditions and saddle point optimality conditions in fuzzy programming problems have been studied in literature by various authors under different conditions. In this paper, by considering a partial order relation on the set of fuzzy numbers, and convexity with differentiability of fuzzy mappings, we have obtained the Fritz John (FJ) constraint qualification and KKT necessary conditions for a fuzzy optimization problem with fuzzy coefficients, for first time. Owing to the help of the KKT optimality conditions, we then discuss, the saddle point optimality conditions, associated with a fuzzy optimization problem under convexity and differentiability of fuzzy mappings.