Extended Rough Set Model Based on Prior Probability and Valued Tolerance Relation

被引：0
|
作者：
Hao-Dong Zhu and Hong-Chan Li School of Computer and Communication Engineering
机构：
来源：
Journal of Electronic Science and Technology | 2011年 / 9卷 / 01期
关键词：
Attribute reduction; discernibility matrix; incomplete information system; prior probability; rough set;
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：
Based on equivalence relation,the classical rough set theory is unable to deal with incomplete information systems.In this case,an extended rough set model based on valued tolerance relation and prior probability obtained from incomplete information systems is firstly founded.As a part of the model,the corresponding discernibility matrix and an attribute reduction of incomplete information system are then proposed.Finally,the extended rough set model and the proposed attribute reduction algorithm are verified under an incomplete information system.
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页码：46 / 50
页数：5
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