| 粗集理论及基于集合论的学习方法 |
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| 引用本文： | 许琦,李永生.粗集理论及基于集合论的学习方法[J].盐城工学院学报(自然科学版),2002,15(1):18-20. |
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| 作者姓名： | 许琦 李永生 |
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| 作者单位： | 南京工业大学,机械工程学院,江苏,南京,210009 |
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| 基金项目： | 江苏省自然科学基金资助项目 (Bk2 0 0 10 95 ) |
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| 摘 要： | 运用了粗集理论的基本原理，对不精确、不完整、不确定的数据进行上近似和下近似的计算和分类，对数据进行简约，寻找其隐含的关系和模式，产生规则，确定规则的可信度，并通过举例加以说明。
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| 关 键 词： | 粗集理论 集合论 学习方法 等价类 可信度 精确度 人工智能 分类规则 |
| 文章编号： | 1671-5322(2002)01-0018-03 |
| 修稿时间： | 2001年9月28日 |
Rough Set Theory and Learning Method Based on Set Theory |
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| XU Qi,LI Yong sheng.Rough Set Theory and Learning Method Based on Set Theory[J].Journal of Yancheng Institute of Technology(Natural Science Edition),2002,15(1):18-20. |
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| Authors: | XU Qi LI Yong sheng |
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| Affiliation: | College of Mechanic Engineering of Nanjing Polytechnical University,Jiangsu Nanjing 210009,China |
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| Abstract: | Based on the principle of rough set theory, calculation of upper and lower approximation and categorization were performed on inaccurate, insufficient and indefinite data. Data reduction was carried out and implied relation and mode between data were figured out. Thus relative rule were set up and its credibility was established which can be illustrated by examples. |
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| Keywords: | rough set theory ?equivalence ?credibility ?accuracy |
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