The fuzzy rough set approaches of fuzzy reasoning

被引：0
|
作者：
Tsang, Eric C. C. [1 ]
Chen, De-Gang [2 ]
机构：
[1] Hong Kong Polytech Univ, Dept Comp, Hung Hom, Kowloon, Hong Kong, Peoples R China
[2] North China Elect Power Univ Beijing, Dept Math & Phys, Beijing 102206, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
fuzzy set; rough set; fuzzy reasoning; approximation operators;
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：
In this paper, we present some new ideas for fuzzy reasoning from the viewpoint of fuzzy rough set. After introducing the existing research of fuzzy rough sets, we show that the well-known CRI method in fuzzy reasoning is just a special upper approximation operator in fuzzy rough set theory. We also develop some practical methods, for fuzzy system by using lower approximation operators in fuzzy rough sets and compare them with the existing methods for fuzzy system.
引用
收藏
页码：1642 / +
页数：2
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