Variable precision rough sets model based on (α, τ) limited similarity relation

被引：0
|
作者：
Gao, Yang [1 ]
Zhong, Bo [1 ]
机构：
[1] School of Business, Central South Univ., Changsha 410083, China
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2009年 / 31卷 / 07期
关键词：
Rough set theory - Information use;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In view of the classical rough sets model can only dispose the complete information system, a variable precision rough sets model is introduced to dispose the incomplete information system. Firstly, the definition of (α, τ) limited similarity relation and its some interrelated characters are presented, and a variable precision rough sets model based on (α, τ) limited similarity relation is introduced. Secondly, the knowledge reduction algorithm based on attribute significance and the quality of approximate classification is proposed. Finally, an example is given to illustrate the validity of the proposed algorithm.
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页码：1639 / 1641
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