摘要
根据粗糙集理论,讨论属性值的约简方法。属性值约简是在属性约简的基础上,对决策表中的每一条记录去掉冗余属性值,从而构成一个最小的决策规则集。重点根据启发式值约简方法,对隐形眼镜数据进行分析,为后序的数据分析减少冗余信息。
This paper discuss the algorithm on attribute value reduction of rough set. On basis of attribute reduction,attribute value reduction decrease redundant information after checking every record, which constitute the least decision rule set. In the paper it focus on the heuristic algorithm,and verify the contact lenses data by it. As the result the algorithm less the redundant information for subsequent data analysis.
出处
《廊坊师范学院学报(自然科学版)》
2011年第6期39-40,共2页
Journal of Langfang Normal University(Natural Science Edition)
关键词
粗糙集
值约简
启发式算法
rough set
value reduction
heuristic algorithm