Two-Stage Fuzzy Optimization of a Fuzzy Production Game Model

Author

Sun, Bin ; Liu, Yan-Kui

Author_Institution

Hebei Univ., Baoding

Volume

2

fYear

2007

Firstpage

1166

Lastpage

1171

Abstract

Based on credibility theory and two-stage optimization method, this paper presents a new class of production games in the fuzzy setting and some basic properties about the two-stage production games model are discussed. In additional, a hybrid algorithm, which combines the approximating method, neural network (NN) and genetic algorithm (GA), is designed to solve the production games problem, and a numerical example about distribution games is given to show the feasibility of the algorithm.

Keywords

approximation theory; fuzzy set theory; game theory; genetic algorithms; neural nets; operations research; approximation method; credibility theory; distribution games; fuzzy production game model; fuzzy setting; genetic algorithm; neural network; production games problem; two-stage fuzzy optimization; Cybernetics; Fuzzy set theory; Fuzzy systems; Game theory; Machine learning; Mathematical model; Optimization methods; Production systems; Stochastic processes; Uncertainty; Approximation Method; Convergence; Credibility Theory; Fuzzy Optimization; Hybrid Algorithm; Optimal Solution; Production Game;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370320

Filename

4370320