Title :
Four Matching Operators of Fuzzy Decision Tree Induction
Author :
Xue, Lin-Yan ; Zuo, Xiao-Hua ; Zhou, Dong-Dong
Author_Institution :
Hebei Univ., Baoding
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.298
