A fuzzy interactive method for a class of bilevel multiobjective programming problem

被引:29
|
作者
Zheng, Yue [1 ,2 ]
Wan, Zhongping [1 ]
Wang, Guangmin [3 ]
机构
[1] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
[2] Huanggang Normal Univ, Coll Math & Informat Sci, Huanggang 438000, Peoples R China
[3] China Univ Geosci, Sch Econ & Management, Wuhan 430074, Peoples R China
基金
美国国家科学基金会;
关键词
Multiobjective optimization; Bilevel programming; Interactive method; Decision making; OPTIMIZATION; PENALTY;
D O I
10.1016/j.eswa.2011.02.069
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we address a class of bilevel multiobjective programming problem where the lower level is a linear multiobjective optimization problem. We use the concepts of satisfactoriness as well as multiobjective optimization at the upper level and a measurement function at the lower level, to develop an interactive method for solving such a problem. The final solution of the proposed method is always efficient to the upper level when the lower level achieves satisfaction. It may be more significant in practice since bilevel programming problem is hierarchical, and the upper level decision making is in the dominant position. Finally, an illustrative numerical example is given to demonstrate the feasibility of the proposed method. (C) 2011 Published by Elsevier Ltd.
引用
收藏
页码:10384 / 10388
页数:5
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