关于粗糙集理论及应用问题的研究

Research on Main Issues in Rough Sets and Its Application

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。

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.