An incremental approach to obtaining attribute reduction for dynamic decision systems

被引：5
|
作者：
Liu Wenjun [1 ,2 ]
机构：
[1] Hunan Univ, Coll Math & Econometr, Changsha 410004, Hunan, Peoples R China
[2] Changsha Univ Sci & Technol, Changsha 410004, Hunan, Peoples R China
来源：
OPEN MATHEMATICS | 2016年 / 14卷
基金：
中国国家自然科学基金;
关键词：
Rough set; Conditional information quantity; Dynamic decision system; Attribute reduction; ROUGH SET APPROACH; INFORMATION; APPROXIMATIONS; UNCERTAINTY; KNOWLEDGE;
D O I：
10.1515/math-2016-0077
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision systems; then, we discuss the updating mechanism of information quantity for decision systems; finally, we give an attribute reduction algorithm for decision tables with dynamically varying attribute values.
引用
收藏
页码：875 / 888
页数：14
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