9P-D-10 多出力距離型簡略化推論法とその医療診断データのファジイ判別分析への応用(D会場 大学院生・学部学生 奨励賞セッション)

抄録

As an extension of simplified distance-type reasoning method, multi-output simplified distance-type reasoning method is proposed in which the consequent part of the fuzzy rule is of multi-output type. This paper shows learning algorithms for the fuzzy reasoning method by using the steepest decent method, and compares learning results with the case of ordinary distance-type reasoning method by applying to two kinds of medical data of diabetes and liver ailment diagnosis data.