Dependent-chance programming in fuzzy environments

被引：121
|
作者：
Liu, BD [1 ]
机构：
[1] Tsing Hua Univ, Dept Appl Math, Beijing 100084, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2000年 / 109卷 / 01期
关键词：
fuzzy programming; genetic algorithm; fuzzy simulation;
D O I：
10.1016/S0165-0114(97)00384-9
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Dependent-chance programming is a new type of stochastic programming. This paper provides a framework of dependent-chance programming as well as dependent-chance multiobjective programming and dependent-chance goal programming in fuzzy environment as opposed to stochastic environment. We also extend the concepts of uncertain environments, events, chance functions and induced constraints from stochastic to fuzzy cases. Finally, a fuzzy simulation based genetic algorithm is illustrated by some numerical examples of dependent-chance programming models. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：97 / 106
页数：10
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