摘要
粗糙集理论在分类的意义下定义了模糊性和不确定性的概念,是一种处理不确定和不精确问题的新型数学工具,文中以实例介绍了粗糙集的基本理论,并通过一个实例详细介绍了在基于对决策表属性约简的基础上采用了可变精度粗糙模型实现规则的获取.该实例说明了基于粗糙集进行规则的挖掘是有效的.
The rough set theory is a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features. In this paper, basic theory of rough set is introduced using an examples, and the implementation of rule mining by variable precision rough set model based on reduction of decision-form feature is illustrated using an example. It is effective for rule mining based on rough set by the example.
出处
《北京建筑工程学院学报》
2005年第4期28-31,共4页
Journal of Beijing Institute of Civil Engineering and Architecture
关键词
粗糙集
数据挖掘
信息系统
规则
rough set
data mining
information system
rule
