Investigation and Application of Feature Extraction Based on Rough Set Theory

被引：0
|
作者：
Tang, Zhi-hang [1 ,2 ]
Zhang, Jing [2 ]
Li, Rong-jun [1 ]
机构：
[1] S China Univ Technol, Coll Business Administer, Guangzhou 510640, Guangdong, Peoples R China
[2] Hunan Inst Engn, Sch Comp & Commun, Xiangtan 411104, Peoples R China
来源：
ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 2 | 2011年 / 144卷
关键词：
Rough set; Feature Extraction; Attribute reduction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the rapid development of computer technologies and a broad spectrum of applications of database management systems, the accumulated data in modem life are far beyond our normal capabilities in analyzing and understanding them without the use of automated analysis technologies. Rough Sets and Fuzzy Sets theories can be used to investigate imprecise and incomplete information, and to observe, test and reason data. This work applies degree of connection in sets pair analysis to Rough Sets Theory, and explores the relationship between rough-degree of connection and cardinal of rough lower/upper approximation.
引用
收藏
页码：195 / +
页数：2
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