中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.3233/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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