Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 10, Issue 4, Pages 445-450Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2002.800692
Keywords
expected value; fuzzy programming; fuzzy simulation; genetic algorithm; neural network
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This paper will present a novel concept of expected values of fuzzy variables, which is essentially a type of Choquet integral and coincides with that of random variables. In order to calculate the expected value of general fuzzy variable, a fuzzy simulation technique is also designed. Finally, we construct a spectrum, of fuzzy expected value models,,and integrate fuzzy simulation, neural network, and genetic algorithms to produce a hybrid intelligent algorithm for solving general fuzzy expected value models.
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