An initial analysis of parametric sensitivity to fuzzy extension matrix

Fuzzy extension matrix induction is an extraction technique of fuzzy rules, which can be used in handling ambiguous classification problems related to human's thought and sense. The entire process of building heuristic algorithm based on fuzzy extension matrix is dependent of three specified parameters that seriously affect the computational effort and the rule extraction accuracy. Since, the value of three parameters is usually given in terms of human experience or real requirements, it is very difficult to determine its optimal value. This paper makes an initial attempt to give some guidelines of how to automatically choose these parameters by analyzing the relationship between the values of parameters and the number of rules generated.