摘要
This paper proposes a new method of constructing generahzed concept lattice and producing rules from it in the generalized rough approximate space based on generalized similar relation which is more extensive than equivalent relation. Finally, a simple algorithm is presented to extract rules based on interesting measure.
This paper proposes a new method of constructing generalized concept lattice and producing rules from it in the generalized rough approximate space based on generalized similar relation which is more extensive than equivalent relation. Finally, a simple algorithm is presented to extract rules based on interesting measure.
出处
《计算机科学》
CSCD
北大核心
2003年第6期133-135,共3页
Computer Science
基金
国家自然科学基金(10171116)
教育部博士点基金(1999055810)
广东省自然科学基金(011221)资助
关键词
粗集理论
广义概念格
广义粗近似空间
规则提取
人工智能
Generalized rough approximation space, Concept lattice, Generalized similarity relation, Support (confidence) degree, Interesting measure.
