基于粗糙集联系度的数据挖掘算法及应用研究  

Algorithm of Data Mining Based on Rough Sets Pair Analysis and Its Application

作　　者：陈世清[1] 唐志航[1] 肖建华[1] 

机构地区：[1]湖南工程学院计算机系,湖南湘潭411101

出　　处：《计算机应用》2004年第6期74-77,共4页journal of Computer Applications

摘　　要：粗糙集理论和模糊集理论都是用来处理不完整和不确定信息的理论,两者都可用来观察、测试数据并进行推理。将集对分析中的联系度概念应用于粗糙集中,说明了粗糙集联系度与下近似集和上近似集的值化的关系。文中分析了专家系统中规则抽取中存在的困难,用粗糙集理论和集对分析理论解决专家系统中规则的抽取和过滤问题,提出了一种新的规则提取方法,并给出了一个应用实例。Both rough and fuzzy sets theories can be used to deal with imprecise and incomplete information. Both of them are often used to observe, test and reason about data. This paper applies degree of connection in sets pair analyzed to rough sets theory. The relationship between rough-degree of connection and cardinal of rough lower/upper approximation is demonstrated. The difficulties of drawing control rules are analyzed in this paper. A new method for drawing and filtering control rules by using rough sets and sets pair analysis is proposed.

关 键 词：粗糙集 集对分析 规则提取 专家系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]