摘要
粗糙集理论是一种新型的数据挖掘和决策分析方法,利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。文中介绍了粗糙集的基本理论,在此基础上运用该理论对从决策表中获取最小规则进行了研究,提出了决策表约简的启发式方法,并通过一个具体实例详细说明了决策规则获取过程,实例分析表明了其有效性。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot. The article introduces basic concepts in rough set theory first. Minimal deci- sion rule acquirement in decision table based on rough set theory is researched. A heuristic approach for rule reduction is put forward, and the procedure of decision rule acquirement is illuminated using an example. The instance analysis shows its validity.
出处
《计算机技术与发展》
2006年第9期35-37,40,共4页
Computer Technology and Development
关键词
粗糙集
决策表
决策规则
属性约简
rough set
decision table
decision rule
attribute reduction
