USING DATA TO DESIGN FUZZY SYSTEM BASED ON QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION

摘要：

The design of fuzzy system is always a difficult problem. A Quantum-behaved Particle Swarm Optimization based method is proposed to design components of fuzzy system using given data. It can evolve both the fuzzy rules and the membership functions. In a real problem, it can obtain a near-optimal fuzzy system using given data. The proposed method is tested with promising results.

关键词： Fuzzy System Quantum-behaved Particle Swarm Optimization Fuzzy Rule Membership Function

作者: LEI TANG FU-ZHEN XUE

作者单位: Department of Automation, University of Science and Technology of China, Hefei 230027, 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: 624-628

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）