Attribute Reduction Using Extension of Covering Approximation Space
文献类型:期刊论文
作者 | Wang, GuoYin1,2; Hu, Jun1 |
刊名 | FUNDAMENTA INFORMATICAE
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出版日期 | 2012 |
卷号 | 115期号:2-3页码:219-232 |
关键词 | covering rough set covering decision system attribute reduction |
ISSN号 | 0169-2968 |
DOI | 10.3233/FI-2012-651 |
通讯作者 | Hu, J (reprint author), Chongqing Univ Posts & Telecommun, Inst Comp Sci & Technol, Chongqing 400065, Peoples R China. |
英文摘要 | The concept of the complement of a covering is introduced, and then the extended space of a covering approximation space is induced based on it. Generally, the extended space of a covering approximation space generates a bigger covering lower approximation or smaller covering upper approximation than itself. Through extending each covering of a covering decision system, the classification ability of each covering may be improved. Thus, a heuristic reduction algorithm is developed to eliminate some coverings in a covering decision system without decreasing the classification ability of the system for decision. Theoretical analysis and experimental results indicate that this algorithm can often get smaller reduction than other algorithms. |
WOS研究方向 | Computer Science ; Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000302777700007 |
出版者 | IOS PRESS |
源URL | [http://119.78.100.138/handle/2HOD01W0/707] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Hu, Jun |
作者单位 | 1.Chongqing Univ Posts & Telecommun, Inst Comp Sci & Technol, Chongqing 400065, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Inst Elect Informat Technol, Chongqing, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, GuoYin,Hu, Jun. Attribute Reduction Using Extension of Covering Approximation Space[J]. FUNDAMENTA INFORMATICAE,2012,115(2-3):219-232. |
APA | Wang, GuoYin,&Hu, Jun.(2012).Attribute Reduction Using Extension of Covering Approximation Space.FUNDAMENTA INFORMATICAE,115(2-3),219-232. |
MLA | Wang, GuoYin,et al."Attribute Reduction Using Extension of Covering Approximation Space".FUNDAMENTA INFORMATICAE 115.2-3(2012):219-232. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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