摘要
基于粗糙集的知识理论可以从现有原始数据出发给出知识的简化。利用粗糙集理论以及其算法,在MATLAB环境下对学生自主学习成绩决策表进行了求解,分析了该决策表的上近似集、下近似集、不可分辨关系、约简、核集、属性依赖度的概念,从而在原始数据的基础上得出了条件属性与决策属性间的关系。
The knowledge theory based on rough set can help to simplify the knowledge proceeded from original data. In the paper it introduces the rough set theory and its principle algorithms. MATLAB Rough Set Toolbox is programmed to analyze the decision table of self-learning system from students' score database. The concepts such as the upper approximation, lower approximation, indiscernibility relation, reduction, core set, and attribute-importance are analyzed based on the score database table. Thus, the relations between condition attributes and decision attributes of the score database are obtained on the basis of original data.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第10期172-174,共3页
Computer Applications and Software
关键词
粗糙集
决策表
约简
依赖度
Rough set Decision table Reduction Attribute-importance