Rough集在知识发现中的应用  

Application of Rough Sets in Knowledge Discovery

作　　者：杨秀芳[1] 

机构地区：[1]内蒙古机电职业技术学院,呼和浩特010070

出　　处：《价值工程》2013年第26期188-190,共3页Value Engineering

摘　　要：Rough集理论作为一种处理不精确、不一致、不完整等各种不完备信息的有效工具,一方面得益于它的数学基础成熟且不需要先验知识;另一方面在于它的易用性。由于Rough集理论创建的目的和研究的出发点就是直接对数据进行分析和推理,从中发现隐含的知识,揭示潜在的规律,因此它是一种天然的知识发现或数据挖掘方法。本文对Rough集的基本概念和它在知识发现中的应用作了简单的介绍。Rough set theory as the effective tool for imprecise treatment, inconsistent, incomplete, and other incomplete informations, on the one hand it thanks to its sophisticated mathematical basis and no need for prior knowledge; on the other hand it is ease for use. Since the purpose of creating Rough set theory and the starting point of research is to directly conduct analysis and reasoning on the data, find hidden knowledge and reveal file potential of the law, so it is a natural knowledge discovery or data mining method. In this paper, the basic concept of Rough sets snd its application in knowledge discovery are introduced briefly.

关 键 词：ROUGH集 知识发现 决策 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]