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基于广义概念格的广义粗近似空间中规则的发现与提取
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作者 张倩生 周作领 +2 位作者 许绍元 贾保果 罗俊 《计算机科学》 CSCD 北大核心 2003年第6期133-135,共3页
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 equ... 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. 展开更多
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
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