计算机科学2024,Vol.51Issue(2) :79-86.DOI:10.11896/jsjkx.221100229

基于正则模糊划分的模糊系统及其逼近性质

Fuzzy Systems Based on Regular Vague Partitions and Their Approximation Properties

彭小玉 潘小东 申涵寒 何红梅
计算机科学2024,Vol.51Issue(2) :79-86.DOI:10.11896/jsjkx.221100229

基于正则模糊划分的模糊系统及其逼近性质

Fuzzy Systems Based on Regular Vague Partitions and Their Approximation Properties

彭小玉 1潘小东 1申涵寒 1何红梅1
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作者信息

  • 1. 西南交通大学数学学院 成都 611756
  • 折叠

摘要

文中讨论了带有不同模糊基函数的模糊系统的逼近问题.首先,基于一维正则模糊划分和重叠函数建立多维正则模糊划分,以划分中的元素为模糊基函数设计模糊系统,应用Weierstrass逼近定理证明了该模糊系统是通用逼近器,给出了模糊系统的逼近误差界.其次,提出了多项式型、指数型和对数型模糊系统,并给出了带有隶属函数参数的逼近误差界.最后,通过数值实验对不同模糊系统的逼近能力进行了比较,实验结果进一步验证了理论分析的正确性.

Abstract

This paper is devoted to investigating the approximation problem of fuzzy systems based on different fuzzy basis func-tions.Firstly,the multi-dimensional regular vague partitions are established based on one-dimensional regular vague partitions and overlap functions,and the fuzzy systems are designed by taking the elements in the partition as the fuzzy basis functions.With the help of the Weierstrass approximation theorem,the conclusion that the fuzzy systems are universal approximators is obtained,and the corresponding approximation error bounds are presented.Secondly,this paper proposes the polynomial,exponential and loga-rithmic fuzzy systems,and gives their approximation error bounds with the parameters of membership functions.Finally,experi-ments are designed to compare the approximation capability of different fuzzy systems.Experimental results further verify the correctness of the theoretical analysis.

关键词

模糊系统/正则模糊划分/模糊基函数/重叠函数/逼近误差界

Key words

Fuzzy systems/Regular vague partitions/Fuzzy basis functions/Overlap functions/Approximation error bounds

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基金项目

国家自然科学基金(61673320)

国家自然科学基金(61976130)

四川省应用基础研究计划(2020YJ0270)

出版年

2024
计算机科学
重庆西南信息有限公司(原科技部西南信息中心)

计算机科学

CSTPCDCSCD北大核心
影响因子:0.944
ISSN:1002-137X
被引量1
参考文献量23
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