文献类型：会议论文

英文题名：A hybrid decision tree model based on credibility theory

作者：Qi, Chengming

第一作者：亓呈明

通讯作者：Qi, CM[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R 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]corresponding author), Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R 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：2nd International Conference on Fuzzy Information and Engineering (ICFIE 2007)

会议日期：MAY 13-16, 2007

会议地点：Guangzhou, PEOPLES R CHINA

语种：英文

外文关键词：classification; credibility theory; fuzzy decision tree; fuzzy entropy

摘要：Decision-Tree (DT) is a widely-used approach to retrieve new interesting knowledge. Fuzzy decision trees (FDT) can handle symbolic domains flexibly, but its preprocess and tree-constructing are much costly. In this paper, we propose a hybrid decision tree (HDT) model by introducing credibility entropy into FDT. Entropy of multi-valued and continuous-valued attributes are both calculated with credibility theory, while entropy of other attributes is dealt with general Shannon method. HDT can decrease the cost of preprocess and tree-constructing significantly. We apply the model into geology field to find out the factors which cause landslide. Experiment results show that the proposed model is more effective and efficient than fuzzy decision tree and C4.5.