.png){kind=icon}
返回
A new rough set model based on multi-scale covering
.png){kind=icon}
PRE
AI
DOI：10.1007/s13042-020-01169-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multi-scale rough set has become one of the hot research topics in rough set. In this article, from the point of view of granule, we first give the definition of the scale relationship between two coverings. Then some properties about neighborhood and approximation operators are explored based on multi-scale covering. Further, we investigate the multi-scale covering approximation space and thus construct a rough set model based on multi-scale covering. In the multi-scale covering decision approximation space, several optimal scale coverings are studied. Finally, we show the connection between multi-scale covering rough sets and multi-scale information systems, and generalize the multi-scale covering approximation space. Rough sets based on multi-scale covering are more extensive than multi-scale information systems. In addition, we design couple of algorithms and several experiments are conducted to verify the efficiency of the algorithms.
Keyword:
Covering rough set
Multi-scale
Information system
Optimal scale combination
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.7
论文数:
3.2K
被引数:
5.6K
机构
引用论文
.png){kind=icon}
分享收藏
A Promising HKUST‐1@SiO2 Composite for the Effective Adsorption of Chlorpyriphos from Aqueous Medium
PREAI
分享收藏
查看更多内容