Quick Attribute Reduction Based on Approximation Dependency Degree
文献类型：期刊论文
| 作者 | Min Li; ShaoBo Deng; Shengzhong Feng; Jianping Fan |
| 刊名 | JOURNAL OF COMPUTERS
 |
| 出版日期 | 2013 |
| 英文摘要 | Attribute reduction is one of the core research content of Rough sets theory. Many existing algorithms mainly are aimed at the reduction of consistency decision table, and very little work has been done for attribute reduction aimed at inconsistency decision table. In fact, the methods finding Pawlak reduct from consistent decision table are not suitable for inconsistency decision table. In this paper, we introduce the approximation dependency reduction modal and present the Quick Attribution Reduction based on Approximation Dependency Degree (Quick-ARADD), which can retain the original boundary region and the original positive region unchanged, and keep the approximation accuracy unchanged for all decision equivalence classes (the partition of universe on decision attributes) of a decision table. Theoretical analysis and experimental results show that the Quick-ARADD algorithm is effective and feasible. |
| 收录类别 | EI |
| 原文出处 | http://69.195.124.86/~academz3/ojs/index.php/jcp/article/view/jcp0804920928 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5054]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | JOURNAL OF COMPUTERS |
| 推荐引用方式 GB/T 7714 | Min Li,ShaoBo Deng,Shengzhong Feng,et al. Quick Attribute Reduction Based on Approximation Dependency Degree[J]. JOURNAL OF COMPUTERS,2013. |
| APA | Min Li,ShaoBo Deng,Shengzhong Feng,&Jianping Fan.(2013).Quick Attribute Reduction Based on Approximation Dependency Degree.JOURNAL OF COMPUTERS. |
| MLA | Min Li,et al."Quick Attribute Reduction Based on Approximation Dependency Degree".JOURNAL OF COMPUTERS (2013). |
入库方式： OAI收割
来源：深圳先进技术研究院
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