ファジィ理論を用いた診断支援システム : 2群鑑別システムの構築(一般講演7-ファジィ推論-)

抄録

This paper presents a method of membership function acquisition in consequent clause in fuzzy diagnostic systems for two-group differentiation. In fuzzy diagnostic system, the expert knowledge is represented by fuzzy if-then rules. However, the membership function acquisition in the fuzzy if-then rule is time consuming owing to less information about the weight of each clinical diagnostic rule. This method calculates the relative positions and widths of membership functions in consequent clause using the possibility of fuzzy events and the information content of fuzzy sets in antecedent clauses. Furthermore, the membership functions are detected by optimization using learning data. To evaluate the performance of our method, we have applied it on Fisher's iris data. As a result, the accuracy is from 96% to 100%.