期刊文献+

基于决策树的不完备信息系统的规则提取方法 被引量:4

Mining Rules in Incomplete Information Systems Based on Decision Trees
下载PDF
导出
摘要 规则提取是RST中一个重要的研究方向,本文提出了不完备信息系统的相对正域的概念,通过简单的集合运算就可以求得相对正域;利用相对正域选择决策树的结点,构造一棵决策树,完成对不完备信息系统的规则提取。 An important part in rough set theory is rule mining. In this paper,a method of mining rules from incomplete information systems based on the relative positive region is put forward. It can select nodes by calculating the relative positive region,and mining rules by the operation of set.
出处 《计算机工程与科学》 CSCD 2007年第10期68-69,100,共3页 Computer Engineering & Science
关键词 不完备信息系统 约简 规则提取 决策树 incomplete information system reduction rule mining decision tree
  • 相关文献

参考文献4

  • 1Chmielewski M R,Grzymala-Busse J W,Peterson N W. The Rule Induction System LERS: A Version for Personal Computers[J]. Foundations of Computing and Decision Sciences, 1993, 18(3-4): 181-212.
  • 2Slowinski R, Stefanowski J. Rough Set Reasoning About Uncertain Data[J]. Foundations of Information, 1996, 27(2-3) : 229-244.
  • 3苗夺谦,王珏.基于粗糙集的多变量决策树构造方法[J].软件学报,1997,8(6):425-431. 被引量:120
  • 4Liang J,Xu Z. Uncertainty Measures of Roughness of Knowledge and Rough Sets in Incomplete Information Systems[A]. Proc of the 3rd World Congress on Intelligence Control and Automation[C]. 2000. 2526-2529.

共引文献119

同被引文献46

引证文献4

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部