Title :
Fuzzy decision trees by fuzzy ID3 algorithm and its application to diagnosis systems
Author :
Umano, Motohide ; Okamoto, Hirotaka ; Hatono, Itsu ; Tamura, Hiroyuki ; Kawachi, Fumio ; Umedzu, Sukehisa ; Kinoshita, Junichi
Author_Institution :
Dept. of Syst. Eng., Osaka Univ., Japan
Abstract :
A popular and particularly efficient method for making a decision tree for classification from symbolic data is ID3 algorithm. Revised algorithms for numerical data have been proposed, some of which divide a numerical range into several intervals or fuzzy intervals. Their decision trees, however, are not easy to understand. We propose a new version of ID3 algorithm to generate an understandable fuzzy decision tree using fuzzy sets defined by a user. We apply it to diagnosis for potential transformers by analyzing gas in oil
Keywords :
decision theory; diagnostic reasoning; fuzzy set theory; knowledge acquisition; tree data structures; trees (mathematics); diagnosis systems; fuzzy ID3 algorithm; fuzzy decision trees; fuzzy intervals; fuzzy sets; gas; oil; potential transformers; symbolic data; understandable fuzzy decision tree; Classification tree analysis; Data engineering; Decision trees; Fuzzy control; Fuzzy sets; Fuzzy systems; Internet; Petroleum; Systems engineering and theory; Testing;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343539
