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Toward fuzzy optimization without mathematical ambiguity

被引：34
作者：
Liu B. [1 ]
机构：
[1] Uncertain Systems Laboratory, Department of Mathematical Sciences, Tsinghua University
来源：
Fuzzy Optimization and Decision Making | 2002年 / 1卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Fuzzy programming; Fuzzy simulation; Genetic algorithm; Neural network;
D O I：
10.1023/A:1013771608623
中图分类号：
学科分类号：
摘要：
Fuzzy programming has been discussed widely in literature and applied in such various disciplines as operations research, economic management, business administration, and engineering. The main purpose of this paper is to present a brief review on fuzzy programming models, and classify them into three broad classes: expected value model, chance-constrained programming and dependent-chance programming. In order to solve general fuzzy programming models, a hybrid intelligent algorithm is also documented. Finally, some related topics are discussed. © 2002 Kluwer Academic Publishers.
引用
收藏
页码：43 / 63
页数：20
相关论文
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