A Method for Data Classification Based on Discernibility Matrix and Discernibility Function

被引：1
|
作者：
SUN Shi-bao~ 1
2. Electronic Information Engineering College
机构：
来源：
Wuhan University Journal of Natural Sciences | 2006年 / 01期
关键词：
discernibility matrix; discernibility function; attributes reduction; data classification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method for data classification will influence the efficiency of classification. Attributes reduction based on discernibility matrix and discernibility function in rough sets can use in data classification, so we put forward a method for data classification. Namely, firstly, we use discernibility matrix and discernibility function to delete superfluous attributes in formation system and get a necessary attribute set. Secondly, we delete superfluous attribute values and get decision rules. Finally, we classify data by means of decision rules. The experiments show that data classification using this method is simpler in the structure, and can improve the efficiency of classification.
引用
收藏
页码：230 / 233
页数：4
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