New optimality conditions for multiobjective fuzzy programming problems

被引：0
|
作者：
Osuna-Gomez, R. [1 ]
Hernandez-Jimenez, B. [2 ]
Chalco-Cano, Y. [3 ]
Ruiz-Garzon, G. [4 ]
机构：
[1] Univ Seville, Fac Matemat, Dept Estadist & IO, Seville, Spain
[2] Univ Pablo Olavide, Dept Econ Metodos Cuantitativos & Ha Econ, Seville, Spain
[3] Univ Tarapaca, Dept Matemat, Arica, Chile
[4] Univ Cadiz, Dept Estadist & IO, Campus Jerez, Cadiz, Spain
来源：
IRANIAN JOURNAL OF FUZZY SYSTEMS | 2020年 / 17卷 / 03期
关键词：
Multiobjective fuzzy optimization; generalized differentiable fuzzy functions; fuzzy generalized convexity; OPTIMIZATION PROBLEM; VALUED FUNCTIONS; DIFFERENTIABILITY; INTERVAL;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
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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页码：19 / 31
页数：13
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