Fuzzy multilevel programming with a hybrid intelligent algorithm

  • Authors:
  • Jinwu Gao;Baoding Liu

  • Affiliations:
  • -;-

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2005

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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.