Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (27): 154-156.DOI: 10.3778/j.issn.1002-8331.2008.27.049

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Method of designing hierarchical structure of SVM decision tree based on lattice close-degree

ZHAO Cheng-long,ZHANG Ran   

  1. Department of Information Engineering,Taishan Polytechnical Institute,Taian,Shangdong 271000,China
  • Received:2007-11-09 Revised:2008-03-07 Online:2008-09-21 Published:2008-09-21
  • Contact: ZHAO Cheng-long

基于格贴近度的SVM决策树层次结构设计方法

赵成龙,张 冉   

  1. 泰山职业技术学院 信息工程系,山东 泰安 271000
  • 通讯作者: 赵成龙

Abstract: Design the hierarchical structure of SVM decision tree based on the lattice close-degree to settle the fuzzy multi-classification.The experimental results show that the SVM decision tree algorithm based on this hierarchical structure has good separation ability.

摘要: 利用格贴近度对模糊集的贴近程度进行度量,给出一种基于格贴近度的SVM决策树层次结构设计方法,从而解决对多类模糊样本的分类问题。实验结果表明:基于该层次结构设计方法得到的多类分类器,对多类模糊样本具有良好的分类效果。