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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569743
