Knowledge acquisition in vague objective information systems

被引：0
|
作者：
Feng, Lin [1 ]
Wang, Guoyin
Liu, Yong
Zhu, Zhenguo
机构：
[1] Chongqing Univ Posts & Telecommun, Inst Comp Sci & Technol, Chongqing 400065, Peoples R China
[2] SW Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China
[3] Sichuan Normal Univ, Dept Engn & Technol, Chengdu 610072, Peoples R China
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS | 2006年 / 4223卷
关键词：
rough set; vague set; rough vague set; knowledge acquisition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Vague set is a new theory in the field of fuzzy information processing. In order to extract vague knowledge from vague information systems effectively, a generalized rough set model, rough vague set, is proposed. Its algebra properties are discussed in detail. Based on rough vague set, the approaches for low approximation and upper approximation distribution reductions are also developed in vague objective information systems(VOIS). Then, the method of knowledge requisition from VOIS is developed. These studies extended the corresponding methods in classical rough set theory, and provide a new approach for uncertain knowledge acquisition.
引用
收藏
页码：344 / 354
页数：11
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