ATTRIBUTE REDUCTION AND APPLICATION OF PROBABILITY ROUGH SET BASED ON INFORMATION ENTROPY

被引：0
|
作者：
Wang, Hua [1 ]
Liu, Bingxiang [1 ]
机构：
[1] Jingdezhen Ceram Inst, Inst Informat Engn, Jingdezhen 333403, Peoples R China
来源：
INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS | 2009年
关键词：
Probability Rough Set; Information Entropy; Attribute Reduction;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The model of probability rough set can take full advantage of the border regions of similar statistical information, and given the concept of a more complete portrait, then we can extract with an uncertainty factor of the decision-making rules. The attribute reduction algorithm based on information entropy is applied to the probability of rough set model by the author. This model will be applied to the classification of meteorological information and obtained good results.
引用
收藏
页码：223 / 225
页数：3
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