CONSTRUCTION OF ASYMMETRIC TYPE-2 FUZZY MEMBERSHIP FUNCTIONS AND APPLICATION IN TIME SERIES PREDICTION

摘要：

This paper proposes a method to construct asymmetric fuzzy membership functions (MFs) for improving performance of type-2 fuzzy logic systems.The effect of asymmetric type-2 fuzzy MFs for fuzzy logic systems is discussed by illustration examples.Each asymmetric MF is constructed by four Gaussian functions to introduce the properties of uncertain mean and uncertain variance.Based on the gradient method, the corresponding learning algorithm is derived.This modification improves the approximation accuracy and reduces the computational complexity.Simulation results of nonlinear systems identification and chaotic time-series prediction are shown to demonstrate the effectiveness.

关键词： Type-2 fuzzy systems Membership function Nonlinear systems Prediction Approximation

作者: HUNG-YI PAN CHING-HUNG LEE FU-KAI CHANG SHENG-KAI CHANG

作者单位: Department of Electrical Engineering, Yuan Ze University, Chungli, Taoyuan, TAIWAN

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: 2024-2030

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）