| 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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| 引用本文： | 张倩生 周作领 许绍元 贾保果 罗俊. 基于广义概念格的广义粗近似空间中规则的发现与提取[J]. 计算机科学, 2003, 30(6): 133-135 |
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| 作者姓名： | 张倩生 周作领 许绍元 贾保果 罗俊 |
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| 作者单位： | 1. 中山大学数学与计算科学学院,广州,510275
2. 中山大学岭南学院,广州,510275 |
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| 基金项目： | 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 |
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| 摘 要： | 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.
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| 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 |
Extract Rule from Generalized Rough Approximate Space Based on Generalized Concept Lattice |
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| ZHANG Qian-Sheng ZHOU Zou-Ling XU Shao-Yuan GIA Bao-Guo LUO Jun. Extract Rule from Generalized Rough Approximate Space Based on Generalized Concept Lattice[J]. Computer Science, 2003, 30(6): 133-135 |
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| Authors: | ZHANG Qian-Sheng ZHOU Zou-Ling XU Shao-Yuan GIA Bao-Guo LUO Jun |
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| Abstract: | 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. |
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| Keywords: | Generalized rough approximation space Concept lattice Generalized similarity relation Support (confidence) degree Interesting measure. |
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