| 一种改进的基于粗糙集的启发式值约简算法 |
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| 引用本文： | 金海波.一种改进的基于粗糙集的启发式值约简算法[J].太原科技大学学报,2010,31(3):181-184. |
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| 作者姓名： | 金海波 |
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| 作者单位： | 太原科技大学应用科学学院,太原,030024 |
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| 摘 要： | 在求得决策表中属性值核的基础上,用属性重要度指导增加后续属性值,还引入包含度和支持度统计度量,生成了不同置信度水平下的决策规则集,并设计了基于规则集的分类算法。对Monk数据集的对比实验表明,该算法是有效的。
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| 关 键 词： | 粗糙集 值约简 决策规则 分类算法 |
An Improved Heuristic Value Reduction Algorithm Based on Rough Set |
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| JIN Hai-bo.An Improved Heuristic Value Reduction Algorithm Based on Rough Set[J].Journal of Taiyuan University of Science and Technology,2010,31(3):181-184. |
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| Authors: | JIN Hai-bo |
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| Institution: | JIN Hai-bo(School of Applied Sciences,Taiyuan University of Science and Technology,Taiyuan 030024,China) |
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| Abstract: | Subsequent attribute value is added by the use of attribute importance degree after obtained core attribute values in the decision table.The algorithm introduces inclusion degree and supports degree and generates different confidence levels of decision rule.We also design a classification algorithm.The comparative experiment for Monk problem shows that the algorithm is effective. |
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| Keywords: | rough set value reduction decision rule classification algorithm |
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