摘要
提出一种新的集合包含度,并用新的集合包含度定义粗糙集理论中的知识包含度。研究了知识包含度的几个基本性质,给出了粗糙集理论中基于知识包含度的属性约简算法,通过一个汽车性能决策表的实例来表明算法的有效性。
A new set inclusion is proposed,and by using the new set inclusion,knowledge inclusion is given in rough set theory.Furthermore,several important properties of knowledge inclusion are studied,and a attribute reduct algorithm based on knowledge inclusion is designed,in the end,the effective of the algorithm is showed in a decision table about the performance of the cars.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第11期32-34,37,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.60773133
山西省重点实验室开放基金No.200603023
运城学院院级科研基金~~
关键词
知识包含度
粗糙集
规则获取
knowledge inclusion
rough set
rule acquisition
