粗糙集是近年发展起来的一种有效地处理模糊和不确定性信息的数学工具,在机器学习和数据挖掘等领域获得了成功的应用。知识约简是粗糙集理论的重要应用和研究内容之一。本文主要讨论粗糙集在知识约简中的应用,以及常见的约简算法的原理及实现。 Rough set is a mathematical tool that has been developed in recent years to deal with the fuzzy and uncertain information effectively. It has been successfully applied in the fields of machine learning and data mining. Knowledge reduction is one of the important applications and research contents of rough set theory. This paper mainly discusses the application of rough sets in knowledge reduction and the principle and implementation of common reduction algorithms.