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Toward Fuzzy Optimization without Mathematical Ambiguity

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Abstract

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.

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Authors and Affiliations

  1. Uncertain Systems Laboratory, Department of Mathematical Sciences, Tsinghua University, Beijing, 100084, China

    Baoding Liu

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  1. Baoding Liu
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Liu, B. Toward Fuzzy Optimization without Mathematical Ambiguity. Fuzzy Optimization and Decision Making 1, 43–63 (2002). https://doi.org/10.1023/A:1013771608623

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