Attribute reduction in ordered information systems based on evidence theory

被引：1
作者：
Wei-hua Xu
Xiao-yan Zhang
Jian-min Zhong
Wen-xiu Zhang
机构：
[1] Chongqing University of Technology,School of Mathematics and Physics
[2] Xi’an Jiaotong University,School of Science
来源：
Knowledge and Information Systems | 2010年 / 25卷
关键词：
Attribute reduction; Consistent set; Evidence theory; Rough set; Ordered information system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Attribute reduction is one of the most important problems in rough set theory. However, in real-world lots of information systems are based on dominance relation in stead of the classical equivalence relation because of various factors. The ordering properties of attributes play a crucial role in those systems. To acquire brief decision rules from the systems, attribute reductions are needed. This paper deals with attribute reduction in ordered information systems based on evidence theory. The concepts of plausibility and belief consistent sets as well as plausibility and belief reducts in ordered information systems are introduced. It is proved that a plausibility consistent set must be a consistent set and an attribute set is a belief reduct if and only if it is a classical reduction in ordered information system.
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页码：169 / 184
页数：15
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