FUZZY FLOW SHOP PROBLEMS AND ITS' GENETIC OPTIMAL
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Abstract
This paper examines fuzzy flow shop scheduling problems with imprecision durations.Instead of exact number,fuzzy numbers are ideally suited to represent these duartions.A new comparison method for fuzzy number is introduced,and a genetic algorithm is constructed for fuzzy flow shop optimization.In the end,the simulated results are shown.
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