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Chance constrained programming with fuzzy parameters
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DOI：10.1016/S0165-0114(96)00236-9.png)
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This paper extends chance constrained programming from stochastic to fuzzy environments. Analogous to stochastic programming, some crisp equivalents of chance constraints in fuzzy environments are presented. We also propose a technique of fuzzy simulation for the chance constraints which are usually hard to be converted to their crisp equivalents. Finally, a fuzzy simulation based genetic algorithm is designed for solving this kind of problems and some numerical examples are discussed. (C) 1998 Published by Elsevier Science B.V.
Keyword:
fuzzy programming
fuzzy number
fuzzy simulation
genetic algorithm
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