Basic concepts in covering-based rough sets

被引:0
|
作者
Zhu, William [1 ]
机构
[1] Univ Auckland, Dept Comp Sci, Auckland 1, New Zealand
关键词
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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
Uncertainty and incompleteness of knowledge are widespread phenomena in information systems. Rough set theory is a tool for dealing with granularity and vagueness in data analysis. Rough set method has already been applied to various fields such as process control, economics, medical diagnosis, biochemistry, environmental science, biology, chemistry psychology, and conflict analysis. Covering-based rough set theory is an extension to classical rough sets. In this paper we study relationship between several basic concepts involved in covering-based rough sets. In this way we will have a better understanding of covering-based rough sets.
引用
收藏
页码:283 / 286
页数:4
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