A Fuzzy Identification Method via Fuzzy Rules

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.