粗糙集理论及其在数据挖掘中的应用  

Rough Sets Theory and Its Application to Data Mining

作　　者：印勇[1] 

机构地区：[1]重庆大学通信工程学院,重庆400030

出　　处：《重庆大学学报（自然科学版）》2004年第2期44-46,50,共4页Journal of Chongqing University

基　　金：重庆市应用基础研究项目(6976)

摘　　要：Roughsets理论被广泛运用于不确定环境下的信息处理。基于粗糙集理论的数据挖掘技术正日益受到计算机科学家和数学家的重视。笔者介绍了粗糙集理论的发展过程和基本特点,粗糙集理论在数据挖掘中的应用,以及典型的基于粗糙集的数据挖掘系统,并介绍了粗糙集理论的研究方向和研究领域,最后论述了粗糙集理论与其他智能化方法结合起来处理信息的必要性。Rough sets is widely applied to dealing with the information under uncertainty. The data mining technology based on the rough sets is being increasingly attached importance by mathematicians and computer scientists. This paper introduces the development process and basic characteristics of rough sets, the application of rough sets theory to the data mining, and the typical system of the data mining based on the rough sets, as well as the directions and fields for future researches. Finally, this paper discusses the necessities through combining rough sets theory and intelligent methods to process information.

关 键 词：粗糙集 数据挖掘 知识发现 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]