Fuzzy Decision Tree Construction with Gene Expression Programming

摘要：

Gene expression programming(GEP) is a kind of phenotype/genotype based evolutionary computation technique. GEP has been used to evolve parsimonious decision tree with high accuracy comparable to C4.5. However, basic GEP based decision tree can still be improved with fuzzy information processing. In this paper, we proposed a GEP based decision tree technique with fuzzy attributes transformation strategy. The technique can significantly reduce the number of branches need to split the decision tree, thus improve the classification accuracy. Results show that our method can find better generalized ability rules.

作者: Wang Weihong Ruan Wei Li Qu

作者单位: College of Computer Science Zhejiang University of Technology Hangzhou, China College of Computer Science Zhejiang University Hangzhou, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 244-248

在线出版日期: 2010-11-15（万方平台首次上网日期，不代表论文的发表时间）