| Mining Weights of Land Evaluation Factors Based on Cloud Model and Correlation Analysis |
| |
| 作者姓名： | HU Shiyuan LI Deren LIU Yaolin LI Deyi |
| |
| 作者单位： | School of Resource and Environment Science Wuhan University，129 Luoyu Road Wuhan 430079 China |
| |
| 摘 要： | The veracity of land evaluation is tightly related to the reasonable weights of land evaluation fac- tors. By mapping qualitative linguistic words into a fine-changeable cloud drops and translating the uncertain factor conditions into quantitative values with the uncertain illation based on cloud model, and then, inte- grating correlation analysis, a new way of figuring out the weight of land evaluation factors is proposed. It may solve the limitations of the conventional ways.
|
| 关 键 词： | 云模型 相关性分析 地面评估因素 重力数据采集 |
| 文章编号： | 1009-5020（2007）03-218-05 |
| 收稿时间： | 31 May 2007 |
| 修稿时间： | 2007-05-31 |
Mining weights of land evaluation factors based on cloud model and correlation analysis |
| |
| HU Shiyuan LI Deren LIU Yaolin LI Deyi.Mining Weights of Land Evaluation Factors Based on Cloud Model and Correlation Analysis[J].Geo-Spatial Information Science,2007,10(3):218-222. |
| |
| Authors: | Hu Shiyuan Li Deren Liu Yaolin Li Deyi |
| |
| Institution: | (1) School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China;(2) Key Laboratory of Geographic Information System of Ministry of Education, 129 Luoyu Road, Wuhan, 430079, China |
| |
| Abstract: | The veracity of land evaluation is tightly related to the reasonable weights of land evaluation fac- tors. By mapping qualitative linguistic words into a fine-changeable cloud drops and translating the uncertain factor conditions into quantitative values with the uncertain illation based on cloud model, and then, inte- grating correlation analysis, a new way of figuring out the weight of land evaluation factors is proposed. It may solve the limitations of the conventional ways. |
| |
| Keywords: | cloud models correlation analysis land evaluation factor weight data mining |
| 本文献已被 CNKI 维普 SpringerLink 等数据库收录！ |
