Three types of models for stochastic scheduling with fuzzy information

Abstract In this paper we consider the scheduling problems on a single machine in random fuzzy environments. Three types of random fuzzy programming models are provided for single machine scheduling with random fuzzy processing times. A hybrid intelligent algorithm is designed to solve the proposed models and its effectiveness is illustrated by numerical experiments.

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