Handling Spatial-Correlated Attribute Values in a Rough Set
文献类型：会议论文
| 作者 | Ge Y. |
| 出版日期 | 2009 |
| 会议名称 | Lecture Notes in Computer Science |
| 关键词 | Rough sets spatial attributes non-spatial attributes incomplete information-systems classification acquisition uncertain |
| 页码 | 467-478 |
| 其他题名 | conference paper title |
| 英文摘要 | Rough set theory has been widely used in spatial analysis. However these applications take little account of the spatial characteristics of spatial data, especially spatial dependencies and correlations. This paper proposes a new method to consider spatially correlated information in rough sets theory. This method divides the attributes of geographical objects into two categories, namely spatial correlated attributes and non-spatial correlated attributes. These two types of attributes are handled separately and the results from both types of attributes are then combined to generate the decision rule. An example is given to illustrate how the new method handles spatially correlated information in rough set theory. |
| 收录类别 | CPCI |
| 会议录出版者 | Springer-Verlag Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-642-02453-5 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25033]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Ge Y.. Handling Spatial-Correlated Attribute Values in a Rough Set[C]. 见:Lecture Notes in Computer Science. |
入库方式： OAI收割
来源：地理科学与资源研究所
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