A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model

被引：0
|
作者：
Zhao, Y. [1 ]
Wong, S. K. M. [1 ]
Yao, Y. Y. [1 ]
机构：
[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada
来源：
ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS | 2008年 / 5306卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper considers two groups of studies on attribute reduction in the decision-theoretic rough set model. Attribute reduction can be interpreted based on either decision preservation or region preservation. According to the fact that probabilistic regions are non-monotonic with respect to set inclusion of attributes, attribute reduction for region preservation is different from the classical interpretation of reducts.
引用
收藏
页码：61 / 70
页数：10
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