Study on the Extension Models to Handle Missing Values

被引：0
|
作者：
Yin, Xuri [1 ]
机构：
[1] Inst Automobile Management PLA, Dept Transportat Command, Bengbu 233011, Anhui, Peoples R China
来源：
2010 SECOND ETP/IITA WORLD CONGRESS IN APPLIED COMPUTING, COMPUTER SCIENCE, AND COMPUTER ENGINEERING | 2010年
关键词：
rough set; incomplete information system; tolerance relation; similarity relation; missing values;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The starting point of the rough sets theory is an observation that objects having the same description are indiscernible with respect to the available information. But the indiscernibility relation may be too rigid in some situations. Therefore several generalizations of the rough sets theory have been proposed. Some of them extend the indiscernibility relation using more general similarity or tolerance relations. In this paper, several extension models of rough set under incomplete information are discussed. Furthermore, the performances of these extended relations are compared also.
引用
收藏
页码：111 / 114
页数：4
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