基于相容关系下的知识粗糙熵的属性约简  

Rough entropy based on the tolerance relation for attribute reduction

作　　者：周玲[1] 李科学[2] 

机构地区：[1]华北水利水电学院数学与信息科学系,河南郑州450011 [2]郑州轻工业学院信息与计算科学系,河南郑州450002

出　　处：《郑州轻工业学院学报（自然科学版）》2007年第5期100-102,共3页Journal of Zhengzhou University of Light Industry:Natural Science

摘　　要：依据相容关系下知识粗糙熵的概念,通过对不完备信息系统中知识与粗糙熵之间的关系以及基于粗糙熵的属性重要性的分析,提出了基于相容关系的知识粗糙熵的启发式约简算法.实例分析表明,作为一种有效的数据挖掘工具,该算法是有效的,具有推广价值.The definition of rough entropy was presented based on the tolerance relation and establishment of the relation between knowledge and roughentropy in the incomplete information system accordingly. The algorithm for reduction of knowledge based on rough was offered. As a date mining tool, it proved that the algorithm was effective through example analysis and had value for spreading.

关 键 词：不完备信息系统 相容关系 粗糙熵 约简 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]