摘要
粗糙集理论是一种具有模糊边界的集合理论 ,它被广泛应用于相容和不相容决策表的规则提取中 .本文针对 RS理论中知识简化和核这两个重要问题进行了研究 ,提出了一种借助于逻辑推理运算得到的知识约减新方法 ,并应用具体实例对相容和不相容决策表的规则提取进行了比较 .
Rough Set as a theory with fuzzy boundary is widely applied for infering the rules from consistent and inconsistent decision table. In this paper, the authors discuss two important issues in Rough Set research,i.e. reduction and core, give a new kind of knowledge reduction making use of logic reasoning operation, and contrast inferring rules from consistent and inconsistent decision table by applying specific example.
出处
《西安建筑科技大学学报（自然科学版）》
CSCD
2002年第2期122-125,共4页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基金
陕西省"三五"人才基金项目 ( 5 310 12 1-0 90 0 -N OCQ 0 1)
关键词
数据挖掘
粗糙集
决策表
属性约减
data mining
rough set
decision table
attribute reduction
