摘要： 粗糙集理论作为数据挖掘的一种有效的手段，现已成为国际学术界的一个前沿研 究领域。概要介绍RS核心思想、基本概念；对几个主要问题：连续属性离散化，约简的启发 式算法和扩展模型进行了论述，总结整理了现有的研究思想和处理方法；并对RS的应用领域 及进一步研究的前景作了简单的介绍。

关键词: 粗糙集, 数据挖掘, 知识与分类, 离散与约简

Abstract: Rough sets theory, has been widely researched in computer and inform ation age, and is regarded as a field of leading edge. This paper describes the key ides and the basic concepts of rough sets theory; then discusses some issues of it: continuous attributes discretization, heuristic reduction algorithms, an d extensions theory of Pawlak's etc.; finally, the application and further resea rch prospects are outlined.

中图分类号: 

• TP18