ラフ集合による肝臓病データの知識獲得とファジィ判別分析(一般講演,医療の将来とソフトコンピューティング)

抄録

When we evaluate an information system by fuzzy inference, the number of fuzzy rules increases very much in general. In this paper, we have tried to obtain the solution on this problem by using rough sets theory. We apply the concept of rough sets to Liver Disease data for the sake of the solution on this problem and indicate that we can get better results by fuzzy rules obtained by using rough sets than those of Fisher's linear discrimination method on multivariate data analysis. In addition, we compare several fuzzy reasoning methods.