| 基于粗集理论的属性约简算法 |
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| 引用本文： | 蔡乐才,姚行艳. 基于粗集理论的属性约简算法[J]. 四川理工学院学报(自然科学版), 2009, 22(1) |
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| 作者姓名： | 蔡乐才 姚行艳 |
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| 作者单位： | 1. 四川理工学院计算机学院,四川,自贡,643000
2. 四川理工学院自动化与电子信息学院,四川,自贡,643000 |
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| 基金项目： | 四川省教育厅科学研究项目 |
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| 摘 要： | 结合高压输电线路远程监测系统,在参考粗糙集理论的基础上,结合粗糙熵相关知识,针对复杂系统故障影响因子的特点,提出了一种属性约简算法,最后得出相应的算法规则,解决了复杂信息数据简化的问题。实例证明,该算法是可行的。
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| 关 键 词： | 粗糙集 属性约简 重要性量度 粗糙熵 |
Attribute Reduction Algorithm Based on Rough Set Theory |
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| CAI Le-cai,YAO Xing-yan. Attribute Reduction Algorithm Based on Rough Set Theory[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 2009, 22(1) |
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| Authors: | CAI Le-cai YAO Xing-yan |
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| Affiliation: | 1.School of Computer Science;Sichuan University of Science & Engineering;Zigong 643000;China;2.School of Automation and Electronic Information;China |
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| Abstract: | Considering the high-voltage transmission lines'remote monitoring system,a data cleaning model is presented based on rough set theory for the characteristics of the complex factors affecting the system,and the appropriate algorithm rules are given.This model solves the problem of simplifying complex information datas.The Example shows that the model is feasible. |
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| Keywords: | rough set attribute reduction essentiality measurement rough entropy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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