A Rough Set Based Decision Analysis of Students' Score Database

被引：0
|
作者：
Zhuang, Yiwen [1 ]
Huang, Runcai [1 ,2 ]
Cao, Qiying [1 ]
Huang, Runcai [1 ,2 ]
机构：
[1] Donghua Univ, Coll Comp Sci & Technol, Shanghai, Peoples R China
[2] Shanghai Univ Engn Sci, Coll Elect & Elect Engn, Shanghai, Peoples R China
来源：
2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8 | 2009年
关键词：
rough set; decision table; reduction; dependency;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Knowledge based on rough set can be utilized to ease the way for categorization on the basis of original data. The paper introduces the rough set theory and its principle algorithms. A Rough Set Toolbox is programmed to analyze the data from the score database of a self-learning system. The concepts such as the upper approximation, lower approximation, indiscernibility relation, reduction, core set, and dependency are analyzed based on the score table. Thus, the relations between condition attributes and decision attributes of the score database are presented.
引用
收藏
页码：5416 / +
页数：2
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