Abstract
Liu [185] presented a spectrum of random fuzzy dependent-chance programming (DCP) in which the underlying philosophy is based on selecting the decision with maximum chance to meet the event. This chapter introduces the theory of random fuzzy DCP, and integrates random fuzzy simulation, neural network (NN) and genetic algorithm (GA) to produce a hybrid intelligent algorithm for solving random fuzzy DCP models.
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© 2002 Springer-Verlag Berlin Heidelberg
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Liu, B. (2002). Random Fuzzy Dependent-Chance Programming. In: Theory and Practice of Uncertain Programming. Studies in Fuzziness and Soft Computing, vol 102. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1781-2_22
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DOI: https://doi.org/10.1007/978-3-7908-1781-2_22
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-662-13196-1
Online ISBN: 978-3-7908-1781-2
eBook Packages: Springer Book Archive