Automatic Construction of Fuzzy Systems by Particle Swarm Optimization

摘要：

This paper introduces Particle Swarm Optimization (PSO) based method to construct a satisfactory fuzzy system directly from some gathered input-output data of the discussed problem.In this method,The structure is generate from train data,fine tuning of parameters encoded in the structure is accomplished using PSO.With the adequate fitness function,the proposed method with PSO produces a fuzzy system with suitable placement of the premises fuzzy sets and proper location of the consequent singletons.Finally,one example is illustrated to show the effectiveness of the proposed method.

关键词： particle swarm optimization fuzzy system train data

作者: HUANG Xiao-juan LU Ling LIU Zi-qiang YE Zhi-xiang WU Jian-dong

作者单位: East China Institute of Technology Nanchang,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 266-270

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）