Interactive multiobjective fuzzy random linear programming: Maximization of possibility and probability

被引：70
|
作者：
Katagiri, Hideki [1 ]
Sakawa, Masatoshi [1 ]
Kato, Kosuke [1 ]
Nishizaki, Ichiro [1 ]
机构：
[1] Hiroshima Univ, Grad Sch Engn, Hiroshima 7398527, Japan
来源：
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2008年 / 188卷 / 02期
关键词：
fuzzy random variable; multiobjective linear programming; probability maximization model; stochastic programming; possibilistic programming; interactive algorithm;
D O I：
10.1016/j.ejor.2007.02.050
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
This paper considers multiobjective linear programming problems with fuzzy random variables coefficients. A new decision making model is proposed to maximize both possibility and probability, which is based on possibilistic programming and stochastic programming. An interactive algorithm is constructed to obtain a satisficing solution satisfying at least weak Pareto optimality. (c) 2007 Elsevier B.V. All rights reserved.
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页码：530 / 539
页数：10
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