TWO-STAGE FUZZY OPTIMIZATION OF A FUZZY PRODUCTION GAME MODEL

摘要：

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.

关键词： Credibility Theory Production Game Optimal Solution Convergence Fuzzy Optimization Approximation Method Hybrid Algorithm

作者: BIN SUN YAN-KUI LIU

作者单位: College of Mathematic and Computer Science, Hebei University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1166-1171

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）