Rough set approximations in formal concept analysis

被引：0
|
作者：
Yao, YY [1 ]
Chen, YH [1 ]
机构：
[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada
来源：
NAFIPS 2004: ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1AND 2: FUZZY SETS IN THE HEART OF THE CANADIAN ROCKIES | 2004年
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：
An important topic of rough set theory is the approximation of undefinable sets or concepts through definable sets. It involves the construction of a system of definable sets and the definition of approximation operators. In this paper, the notion of rough set approximations is introduced into formal concept analysis. Approximation operators are defined based on both lattice-theoretic and set-theoretic operators. The results provide a better understanding of data analysis using rough set theory and formal concept analysis.
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页码：73 / 78
页数：6
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