文献类型：会议论文

英文题名：A new partition criterion for fuzzy decision tree algorithm

作者：Chengming, Qi[1]

第一作者：亓呈明

通讯作者：Chengming, Q.

机构：[1] College of Automation, Beijing Union University, Beijing 100101, China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]College of Automation, Beijing Union University, Beijing 100101, China|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：Proceedings - Workshop on Intelligent Information Technology Application, IITA 2007

会议日期：December 2, 2007 - December 3, 2007

会议地点：Zhang Jiajie, China

语种：英文

外文关键词：Classification (of information) - Decision trees - Entropy

摘要：Decision trees represent a simple and powerful method of induction from labeled instances. Fuzzy decision tree is the generalization of decision tree in fuzzy environment. The knowledge represented by fuzzy decision tree is more natural to the way of human thinking, but it's preprocess and tree-constructing are much costly. In this paper, we propose a modified fuzzy decision tree model (MFD). Entropy of multi-valued and continuous-valued attributes is both computed with fuzzy theory after fuzzification, while entropy of other attributes is dealt with General Shannon method. Experiment results suggest that the proposed model is more effective and efficient and can leads to comprehensible decision trees. ? 2007 IEEE.