期刊文献+

基于元素约简的决策表属性约简算法 被引量:1

Attribute reduction algorithm of decision table based on element reduction
在线阅读 下载PDF
导出
摘要 Skowron差别矩阵广泛应用于属性约简及求核运算,但它只适用于相容决策表,对于不相容决策表有时会得到错误的结果。虽然国内多位学者对它进行了改进,但一方面它们仍只适用于相容或部分相容决策表的属性约简,对完全不相容决策表仍得不到正确的结果。另一方面须通过额外的函数来约束差别矩阵的构造过程,增加计算负担。利用等价差别矩阵具有相同属性约简的思想,将元素对象分割成相容对象与矛盾对象,通过对参与构造差别矩阵的行与列元素进行约简,减少了某些重复计算过程,提高了计算效率。以此为基础,给出了一种改进的属性约简算法。数值算例验证了该算法是有效可行的。 Discernibility matrix proposed by Skowron has been largely applied in attribute reduction and the computation of core. However,it only suits for compatible decision table.For incompatible one,it may obtain wrong results in some cases.Although researchers have modified it,on one hand,it still can not get correct attribute reduction for a completely incompatible decision table.On the other hand,the constructing process of discernibility matrix has to be restricted by additional function,which increases some computing burdens.For equivalent discernibility matrix has equivalent attribute reduction,the domain is partitioned into compatible and imcompatible elements in this paper.A modified constructing method which passes over some reduplicate computing process is proposed by reducing the row and column elements and an improved attribute reduction algorithm is proposed.Its validity is verified by some numerical examples.
作者 黄国顺
出处 《计算机工程与应用》 CSCD 北大核心 2007年第24期162-165,共4页 Computer Engineering and Applications
基金 佛山科学技术学院科研项目(No.2005034)
关键词 决策表差别矩阵属性约简 decision table discernibility matrix attribute reduction
  • 相关文献

参考文献10

二级参考文献49

  • 1杨明,孙志挥.改进的差别矩阵及其求核方法[J].复旦学报(自然科学版),2004,43(5):865-868. 被引量:71
  • 2李洪兴.因素空间理论与知识表示的数学框架(Ⅰ)──因素空间的公理化定义与描述架[J].北京师范大学学报(自然科学版),1996,32(4):470-475. 被引量:69
  • 3曾黄麟.粗集理论及其应用[M].重庆:重庆大学出版社,1998..
  • 4张文修 等.Rough集理论与方法[M].北京:科学出版社,2001..
  • 5Pawlak Z. Rough Set: Theoretical Aspects of Reasoning about Data. Dordrecht: Kluwer Academic Publishers, 1991.
  • 6Pawlak Z, Slowinski R. Rough Set Approach to Multiattribute Decision Analysis, Invited Review. European Journal of Operational Rematch. 1994, 72:443 - 459.
  • 7Chan C C. A Rough Set Approach to Attribute Generalization in Data Mining. Jonmal of Information Sciences, 1998, 107: 169- 176.
  • 8Morzek A. Rough Sets and Dependency Analysis among Attributes in Computer Implementations of Experts Inference Models. International Journal of Man-Machine Studies, 1989, 30:457-473.
  • 9Jelonek J, Krawiec K, Slowinski R. Rough Set Reduction of Attributes and Their Domains for Neural Networks. Computational Intelligence, 1995, 1(2): 339-347.
  • 10Pawlak Z. Rough Set approach to multi - attribute decision analysis[ J]. European Journal of Operational Research, 1994, 72:443- 459.

共引文献383

同被引文献12

引证文献1

二级引证文献6

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