Fuzzy multilevel programming with a hybrid intelligent algorithm |
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Affiliation: | Uncertainty Theory Laboratory, Department of Mathematical Sciences Tsinghua University, Beijing 100084, P.R. China |
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Abstract: | In order to model fuzzy decentralized decision-making problem, fuzzy expected value multilevel programming and chance-constrained multilevel programming are introduced. Furthermore, fuzzy simulation, neural network, and genetic algorithm are integrated to produce a hybrid intelligent algorithm for finding the Stackelberg-Nash equilibrium. Finally, two numerical examples are provided to illustrate the effectiveness of the hybrid intelligent algorithm. |
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