Title :
Two-Stage Fuzzy Optimization of a Fuzzy Production Game Model
Author :
Sun, Bin ; Liu, Yan-Kui
Author_Institution :
Hebei Univ., Baoding
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;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370320
