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On the extension of rough sets under incomplete information

被引：0
|
作者：
Stefanowski, J
Tsoukiàs, A
机构：
[1] Poznan Univ Tech, Inst Comp Sci, PL-60965 Poznan, Poland
[2] Univ Paris 09, CNRS, LAMSADE, F-75775 Paris 16, France
来源：
NEW DIRECTIONS IN ROUGH SETS, DATA MINING, AND GRANULAR-SOFT COMPUTING | 1999年 / 1711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：
The rough set theory, based on the conventional. indiscernibility relation, is not useful for analysing incomplete information. We introduce two generalizations of this theory. The first proposal is based on non symmetric similarity relations, while the second one uses valued tolerance relation. Both approaches provide more informative results than the previously known approach employing simple tolerance relation.
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页码：73 / 81
页数：9
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