電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
帰納学習によるファジィ決定木の生成
櫻井 茂明荒木 大
著者情報
ジャーナル フリー

1993 年 113 巻 7 号 p. 488-494

詳細
抄録

ID 3 algorithm can automatically acquire a decision tree from a set of training examples. However, ID 3 can only deal with the distinct data values. This paper presents a fuzzy decision tree which expresses some fuzzy classification rules, and an algorithm to induce a fuzzy decision tree from the training examples including numerical or fuzzy data values. This new algorithm, called IDF, has a labeling procedure in each decision tree expanding step to make effective fuzzy classification items. These items are used to do fuzzy decisions in the branch nodes. Fuzzy decision tree can also give some classification results with certainty ratios. The authors examined and exemplified the efficiency of this algorithm by some numerical experiments.

著者関連情報
© 電気学会
前の記事 次の記事
feedback
Top