8.Bernstein多項式を用いた従業員の医療費データからのルール抽出(医療経済・意思決定,一般講演,医療とヒューマンフレンドリーコンピュータ科学の接点を求めて-21世紀マルチメディア医療をむかえて-)

抄録

Fuzzy IDS is a popular and efficient method of making a decision tree for classification from symbolic and numeric data with small computational cost. In this paper, a decision tree for employees' medical expenses in a corporation is induced in the form of fuzzy if-then rules. LMS learning is applied for tuning consequent part of the fuzzy rules.