The relationships between the inclusion degree and measures on rough set data analysis based on regular probability spaces

被引：0
|
作者：
Tsang, Eric C. C. [1 ]
Yang, Wen-Xia [2 ]
Chen, De-Gang [2 ]
机构：
[1] Hong Kong Polytech Univ, Dept Comp, Kowloon, Peoples R China
[2] North China Elect Power Univ, Dept Math & Phys, Beijing 102206, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
关键词：
rough sets; inclusion degree; data analysis; measure; regular probability spaces;
D O I：
10.1109/ICMLC.2008.4620810
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Rough set data analysis is one of the main application techniques arising from rough set theory. In this paper we first give a concept of inclusion degree and introduce some measures on rough set in probability spaces. Then we establish several important relationships between the inclusion degree and these measures. Finally, we get one conclusion that these measures can be reduced to the inclusion degree by using mathematical reasoning.
引用
收藏
页码：2412 / +
页数：2
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