The Attribute Reductions Based on Indiscernibility and Discernibility Relations

被引:4
|
作者
Qin, Keyun [1 ]
Jing, Sihui [1 ]
机构
[1] Southwest Jiaotong Univ, Coll Math, Chengdu 610031, Sichuan, Peoples R China
来源
ROUGH SETS | 2017年 / 10313卷
基金
中国国家自然科学基金;
关键词
Rough set; Indiscernibility and discernibility relation; Reduction; INCOMPLETE DECISION SYSTEMS; ROUGH SETS; DIMENSIONALITY REDUCTION; INCONSISTENT SYSTEMS; TABLES;
D O I
10.1007/978-3-319-60837-2_26
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Knowledge reduction and knowledge discovery in information systems are important topics of rough set theory. Based on the relative indiscernibility relation and relative discernibility relation of decision systems, the notions of lambda reduction and mu reduction are proposed. The judgement theorems for lambda consistent set and mu consistent set are provided. The discernibility matrices with respect to lambda reduction and mu reduction are obtained and the reduction approaches are presented. Furthermore, the relationships among lambda reduction, mu reduction, positive region reduction and assignment reduction are analyzed.
引用
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页码:306 / 316
页数:11
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