| 基于程度粗糙集的知识约简方法 |
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| 引用本文： | 成蓉华,陈世联. 基于程度粗糙集的知识约简方法[J]. 昆明理工大学学报(自然科学版), 2006, 31(1): 119-121,124 |
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| 作者姓名： | 成蓉华 陈世联 |
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| 作者单位： | 昆明理工大学,理学院,云南,昆明,650093;昆明理工大学,理学院,云南,昆明,650093 |
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| 摘 要： | 给出了基于程度粗糙集模型上知识的近似约简及近似相对约简,引入了目标信息系统上的k上(下)近似约简及k上(下)分布约简的概念,并讨论了它们之间的关系,得到了几个重要结论,可为知识发现或数据挖掘技术奠定一些基础.
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| 关 键 词： | 知识约简 信息系统 粗集理论 |
| 文章编号： | 1007-855X（2006）01-0119-03 |
| 收稿时间： | 2005-01-20 |
| 修稿时间： | 2005-01-20 |
Knowledge Reduction Based on Graded Rough Set |
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| CHENG Rong-hua,CHEN Shi-lian. Knowledge Reduction Based on Graded Rough Set[J]. Journal of Kunming University of Science and Technology(Natural Science Edition), 2006, 31(1): 119-121,124 |
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| Authors: | CHENG Rong-hua CHEN Shi-lian |
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| Affiliation: | Faculty of Science,Kunming University of Science and Technology,Kunming 650093,China |
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| Abstract: | The main objective is to introduce some new concepts of knowledge reduction based on the graded rough set theory,such as upper(lower) approximation reduction and upper(lower) distribution reduction.The relationships among alternative reduction in information systems are discussed.These results are meaningful both in theory and practice. |
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| Keywords: | knowledge reduction information system rough set theory |
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