| 基于Vague粗糙集信息熵的属性约简算法 |
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| 引用本文： | 李玉超,徐金华. 基于Vague粗糙集信息熵的属性约简算法[J]. 运筹与管理, 2017, 26(5): 1-5. DOI: 10.12005/orms.2017.0101 |
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| 作者姓名： | 李玉超 徐金华 |
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| 作者单位： | 1.中国科学院大学 经济与管理学院,北京 100049;2.军事科学院 军事战略研究部,北京 100091 |
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| 基金项目： | 中国博士后科学基金资助项目(2015M582874);军队科研“十二五”计划资助项目(14QJ003-032) |
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| 摘 要： | 针对复杂系统分析中的数据信息冗余问题,提出一种基于Vague粗糙集信息熵的属性约简算法。首先,对Vague粗糙集相关概念进行拓展,提出Vague粗糙集的扩展信息熵和广义信息熵的模型;其次,对基于信息熵的属性重要性度量和属性约简原理进行研究,进而提出了一种基于Vague粗糙集信息熵的监督式属性约简算法;最后,选取UCI数据库对算法性能进行验证,计算结果表明该算法实用有效。
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| 关 键 词： | 粗糙集 Vague粗糙集 信息熵 属性约简 |
| 收稿时间： | 2016-03-07 |
Attribution Reduction Algorithm Based on Information Entropy of Vague Rough Set |
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| LI Yu-chao,XU Jin-hua. Attribution Reduction Algorithm Based on Information Entropy of Vague Rough Set[J]. Operations Research and Management Science, 2017, 26(5): 1-5. DOI: 10.12005/orms.2017.0101 |
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| Authors: | LI Yu-chao XU Jin-hua |
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| Affiliation: | 1. University of Chinese Academy of Science, School of Economics and Management, Beijing 100049, China; 2. Academy of Military Science, Military Strategy Research Department, Beijing,100091, China |
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| Abstract: | In order to solve data information redundancy in complex system analysis, an attribution reduction algorithm based on information entropy of vague rough set is proposed. Firstly, the concerned concepts of vague rough set are expanded, then the extended information entropy and generalized information entropy are defined. Secondly, the attribution importance measure and attribution reduction principle based on information entropy are studied, and then an attribution reduction algorithm based on generalized information entropy is put forward. Finally, the algorithm quality is verified by applying to the chosen UCI database, and the calculation result has shown the validity and feasibility. |
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| Keywords: | rough set vague rough set information entropy attribution reduction |
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