一种FUZZY相关分析方法

徐承伟

徐承伟. 一种FUZZY相关分析方法[J]. 信息与控制, 1991, 20(5): 6-12.
引用本文: 徐承伟. 一种FUZZY相关分析方法[J]. 信息与控制, 1991, 20(5): 6-12.
XU Chengwei. AN APPROACH TO FUZZY CORRELATION ANALYSIS[J]. INFORMATION AND CONTROL, 1991, 20(5): 6-12.
Citation: XU Chengwei. AN APPROACH TO FUZZY CORRELATION ANALYSIS[J]. INFORMATION AND CONTROL, 1991, 20(5): 6-12.

一种FUZZY相关分析方法

基金项目: 昆明工学院青年科学基金

AN APPROACH TO FUZZY CORRELATION ANALYSIS

  • 摘要: 线性的相关分析方法只能处理线性相关与否的问题,它无法用来了解是否存在非线性的相关.本文中我们提出一种近似的相关分析方法——Fuzzy相关分析法,它主要可用于建立Fuzzy模型时对Fuzzy变量间的相关程度加以度量.此法的原理建立在Fuzzy规则模型的基础之上,数学上并不严格.但大量的算例表明,这种Fuzzy相关分析方法有相当的实用价值.
    Abstract: Linear correlation analysis approach can’t be used to determine whether nonlinear correlation existsbut to solve linear correlated or noncorrelated problems.This article presents an approximate algorithm—Fuzzy correlation analysis approach,which can be mainly used to measure the correlation levels betweenFuzzy variants in Fuzzy modelling.This algorithm is based on the model of Fuzzy laws and is notmathematically strict;however,plenty of examples show it is good and practical.
  • [1] Younger M S. A First Course in Linear Regression (2nd Edition). Boston: Duxbury Press, 1979
    [2] 数学手册.北京:人民教育出版社,1979
    [3] Box G E P, Jcnkins G M. Time Series Analysis, Forecasting and Control. San Francisco: Holden Day, 1970
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出版历程
  • 收稿日期:  1990-04-24
  • 发布日期:  1991-10-19

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