On generalizing rough set theory

被引：0
|
作者：
Yao, YY [1 ]
机构：
[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada
来源：
ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING | 2003年 / 2639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 summarizes various formulations of the standard rough set theory. It demonstrates how those formulations can be adopted to develop different generalized rough set theories. The relationships between rough set theory and other theories are discussed.
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页码：44 / 51
页数：8
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