Weight variable precision-mini difference generalized rough set model

被引：0
|
作者：
Liu Bing-xiang [1 ]
Cao Kun [1 ]
Sheng Zhao-han [1 ]
机构：
[1] Jingdezhen Ceram Inst, Informat Engn Inst, Jingdezhen 333000, Peoples R China
来源：
PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2 | 2005年
关键词：
variable precision model; mini difference model; variable precision-mini difference generalized model; weighing function; credit risks analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A weight variable precision-mini difference generalized rough set model is constructed to deal with situations where incomplete information systems have inexactitude data and different data objects have different importance using a weighing function. This generalized model can facilitate combining of factors such as the decision maker preferences and prior domain knowledge in the rules evaluation processes. A credit risks analysis experiment is given to illustrate the advantages of the proposed model. The method is used to extend application fields of rough set.
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页码：1344 / +
页数：4
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