一种基于模糊规则的模糊辩识方法

A Fuzzy Identification Method via Fuzzy Rules

提出了一种基于模糊聚类和最小二乘估计方法的模糊辨识方法。该方法是基于模糊聚类，计算给定样本在各类中的隶属度，并给出输入变量的隶属度函数。利用递推最小二乘估计辩识模糊模型的后件参数，本文给出了详细的的算法。为了验证该方法的有效性，本文给出了Ｂｏｘ－Ｊｅｎｈｉｎｓ数据的辨识结果。

This paper proposes a method of fuzzy identification based on fuzzy clustering and recursive least square algorithm.This fuzzy clustering produces the membership grade of each datum point as well as the membership functions.Recursive least square algorithm can be used to identify the parameters of conclusion polynomials.This paper gives a detailed algorithm.To demonstrate the advantages of the proposed mehtod,it is used to identify the well known Box Jenkins data set,and the result is shown at the end of the paper.