DocumentCode
2040068
Title
A comparative study on inductive operators of fuzzy decision tree
Author
Linyan Xue ; Wang, Hong ; Liu, Shuang
Author_Institution
Coll. of Quality & Tech. Supervision, Hebei Univ., Baoding, China
Volume
1
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
6
Lastpage
9
Abstract
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 inductive operators, 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 reasoning; fuzzy set theory; mathematical operators; pattern classification; fuzzy decision tree; fuzzy rules; inductive operator; reasoning; Accuracy; Classification algorithms; Cognition; Databases; Decision trees; Testing; Training; fuzzy decision tree; inductive operators; learning accuracy;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569743
Filename
5569743
Link To Document