A new uncertainty measure of knowledge in incomplete information systems

被引：0
|
作者：
Li, RP [1 ]
Huang, D [1 ]
机构：
[1] E China Univ Sci & Technol, Inst Informat, Shanghai 200237, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
rough set; entropy; uncertainty of knowledge; incomplete information system;
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：
In this paper the problem of estimating uncertainty of knowledge in incomplete information systems is studied. Some limitations of the previous measure - rough entropy are first analyzed and then a new measure called incomplete entropy is presented. Compared with rough entropy, incomplete entropy can be used in both incomplete and complete information system and has more precise estimation for uncertainty of knowledge in incomplete information systems.
引用
收藏
页码：1486 / 1490
页数：5
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