机构地区: 中山大学数学与计算科学学院
出 处: 《计算机科学》 2003年第6期133-135,共3页
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.
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
领 域: [自动化与计算机技术] [自动化与计算机技术]