中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Reduction algorithms based on discernibility matrix: The ordered attributes method

文献类型:期刊论文

作者Wang, J; Wang, J
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2001-11-01
卷号16期号:6页码:489-504
关键词rough set theory principle of discernibility matrix inductive machine learning
英文摘要In this paper, we present reduction algorithms based on the principle of Skowron's discernibility matrix - the ordered attributes method. The completeness of the algorithms for Pawlak reduct and the uniqueness for a given order of the attributes are proved. Since a discernibility matrix requires the size of the memory of \U \ (2), U is a universe of objects, it would be impossible to apply these algorithms directly to a massive object set. In order to solve the problem, a so-called quasi-discernibility matrix and two reduction algorithms are proposed. Although the proposed algorithms are incomplete for Pawlak reduct, their optimal paradigms ensure the completeness as long as they satisfy some conditions. Finally, we consider the problem on the reduction of distributive object sets.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
研究领域[WOS]Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000172539500001
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9816]  
专题自动化研究所_09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China
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Wang, J,Wang, J. Reduction algorithms based on discernibility matrix: The ordered attributes method[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2001,16(6):489-504.
APA Wang, J,&Wang, J.(2001).Reduction algorithms based on discernibility matrix: The ordered attributes method.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,16(6),489-504.
MLA Wang, J,et al."Reduction algorithms based on discernibility matrix: The ordered attributes method".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 16.6(2001):489-504.

入库方式: OAI收割

来源:自动化研究所

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