FUZZY OPTIMIZATION MODEL BASED ON SYNTHESIZING EFFECT AND INEQUITY DEGREE

摘要：

In this paper, based on the structure of fuzzy information and the mechanism of fuzzy optimization, we propose the concept of quasi-linear fuzzy number; by distinguishing principal index and secondary indices, we give the comparison method based on synthesizing effect combining with the compound qualification strategy of fuzzy information; starting from the essence of constraints, we give a fuzzy optimization model based on synthesizing effect and inequity degree (BID&SE-FOM), and propose an instructive fuzzy genetic algorithm based on principal operation and quasi-linear fuzzy numbers (PO(⊕)QL-FGA); Finally, we analyze the performance of PO(⊕)QL-FGA by using Markov chain theory, and further explain the application of quasi-linear fuzzy numbers by a concrete example.

关键词： Fuzzy optimization Quasi-linear fuzzy number Inequity degree Synthesizing effect BID&SE-FOM

作者: CHEN-XIA JIN FA-CHAO LI

作者单位: School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang 050018, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 517-522

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）