Optimized design of TS fuzzy model based on improved genetic algorithm

LI Pan-pan; ZHU Wei-xing

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Optimized design of TS fuzzy model based on improved genetic algorithm

更新时间：2025-09-11

- Optimized design of TS fuzzy model based on improved genetic algorithm
- Issue 8, Pages: 100-102+120(2008)
- 作者机构：
  
  江苏大学电气信息工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2008
- 稿件说明：
移动端阅览
[1]李盼盼,朱伟兴.基于改进遗传算法的TS模糊模型的优化设计[J].传感器与微系统,2008(08):100-102+120.

LI Pan-pan, ZHU Wei-xing. Optimized design of TS fuzzy model based on improved genetic algorithm[J]. 2008, (8): 100-102+120.
[1]李盼盼,朱伟兴.基于改进遗传算法的TS模糊模型的优化设计[J].传感器与微系统,2008(08):100-102+120. DOI：

LI Pan-pan, ZHU Wei-xing. Optimized design of TS fuzzy model based on improved genetic algorithm[J]. 2008, (8): 100-102+120. DOI：

摘要

提出了一种新的将隶属度函数和规则库统一编码的改进遗传算法进行TS模糊模型整体优化设计的方法。利用FCM算法和最小二乘法辨识初始的模糊模型;利用改进遗传算法整体优化模糊模型

克服了以往将模型结构和参数分开优化的缺陷。为了提高模型的解释性

提出了将基于相似性的模糊集合和模糊规则的简化方法用于对模型的约简

并利用该方法对Mackey-Glass混沌序列建模。仿真结果验证了该方法的有效性。

Abstract

A new improved genetic algorithm which combined membership function and rules sets in a chromosome is proposed.The initial fuzzy system is defined using fuzzy clustering algorithm and the least-squares.Improved genetic algorithm is used to optimize the whole system

conquer the usual method’s limination which the model structure and parameter is optimized each.Similar fuzzy sets merging and fuzzy rules mergering are adopted to reduce the fuzzy model and enhance its interpretablity.The proposed approach is applied to the Mackey-Glass system

and the results show its validity.

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Keywords

references

基于聚类和遗传算法的解释性模糊模型设计 [J]. 张永,邢宗义,向峥嵘,胡维礼. 计算机工程 . 2007(08)

基于模糊聚类方法的T-S模糊系统建模 [J]. 李林峰,孙长银. 三峡大学学报(自然科学版) . 2006(02)

About the use of fuzzy clustering techniques for fuzzy model identification [J] . A.F. Gómez-Skarmeta,M. Delgado,M.A. Vila. Fuzzy Sets and Systems . 1999 (2)

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