DocumentCode
2427864
Title
Four Matching Operators of Fuzzy Decision Tree Induction
Author
Xue, Lin-Yan ; Zuo, Xiao-Hua ; Zhou, Dong-Dong
Author_Institution
Hebei Univ., Baoding
Volume
4
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
674
Lastpage
678
Abstract
Fuzzy decision tree induction is one of the most popular choices for learning and reasoning from feature-based examples. A fuzzy decision tree can be constructed from a training set of cases and converted into a set of fuzzy rules. In this paper, the reasoning ability of four matching operators (or,nland) , (or,times) , (+, nland) and (+,times), which are used for applying fuzzy rules to classification, are analyzed and compared. The purpose of this study is to show some useful guidelines on how to choose an appropriate operator for classified problem.
Keywords
decision trees; fuzzy set theory; inference mechanisms; learning (artificial intelligence); mathematical operators; pattern classification; pattern matching; fuzzy decision tree induction; matching operators; Aggregates; Classification tree analysis; Decision trees; Educational institutions; Finance; Fuzzy reasoning; Fuzzy sets; Guidelines; Heuristic algorithms; Induction generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.298
Filename
4406472
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