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 |
| 卷号 | 16期号:6页码:489-504 |
| 关键词 | rough set theory principle of discernibility matrix inductive machine learning |
| ISSN号 | 1000-9000 |
| 学科主题 | Computer Science, Hardware & Architecture; Computer Science, Software Engineering |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2011-07-29 |
| 附注 | In this paper, we present reduction algorithms based on the principle of Skowrons discernibility matrix - the ordered attributes method. The completeness of the algorithms for Pawlak reduct and the uniqueness for a given order of the attribute |
| 源URL | [http://124.16.136.157/handle/311060/13516]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | 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：软件研究所
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