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Expected value operator of random fuzzy variable and random fuzzy expected value models. (English) Zbl 1074.90056
Summary: A random fuzzy variable is a mapping from a possibility space to a collection of random variables. This paper first presents a new definition of the expected value operator of a random fuzzy variable, and proves the linearity of the operator. Then, a random fuzzy simulation approach, which combines fuzzy simulation and random simulation, is designed to estimate the expected value of a random fuzzy variable. Based on the new expected value operator, three types of random fuzzy expected value models are presented to model decision systems where fuzziness and randomness appear simultaneously. In addition, random fuzzy simulation, neural networks and genetic algorithm are integrated to produce a hybrid intelligent algorithm for solving those random fuzzy expected valued models. Finally, three numerical examples are provided to illustrate the feasibility and the effectiveness of the proposed algorithm.
MSC:
90C70Fuzzy programming
60A05Axioms of probability theory
68T37Reasoning under uncertainty
90B50Management decision making, including multiple objectives