摘要
粗集理论是一种新的处理模糊和不确定性的数学工具,在数据挖掘、机器学习、决策支持系统和模式识别等领域得到了广泛应用.文中在阐述了粗集理论的基本思想与特点的基础上,重点评述了粗集理论在数据挖掘中的应用状况以及未来的发展方向.
Rough sets theory is a new mathematical means to deal with vagueness and uncertainty. It has been used in many fields such as data mining, machine learning, decision support systems and pattern recognition. This paper explains the basic idea and characteristics of rough sets theory, mainly reviewing the applicable status in data mining and its research direction in the future.
出处
《天津工业大学学报》
CAS
2002年第6期29-31,共3页
Journal of Tiangong University
关键词
粗集理论
数据挖掘
数据约简
规则抽取
rough sets theory
data mining
data reduction
rule extraction