Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling
文献类型：期刊论文
| 作者 | He, Qingfeng; Xu, Zhihao; Li, Shaojun; Li, Renwei; Zhang, Shuai; Wang, Nianqin; Binh Thai Pham; Chen, Wei |
| 刊名 | ENTROPY
 |
| 出版日期 | 2019 |
| 卷号 | 21期号:2页码:- |
| 关键词 | rotation forest credal decision tree ensemble model machine learning landslide |
| DOI | 10.3390/e21020106 |
| 英文摘要 | Landslides are a major geological hazard worldwide. Landslide susceptibility assessments are useful to mitigate human casualties, loss of property, and damage to natural resources, ecosystems, and infrastructures. This study aims to evaluate landslide susceptibility using a novel hybrid intelligence approach with the rotation forest-based credal decision tree (RF-CDT) classifier. First, 152 landslide locations and 15 landslide conditioning factors were collected from the study area. Then, these conditioning factors were assigned values using an entropy method and subsequently optimized using correlation attribute evaluation (CAE). Finally, the performance of the proposed hybrid model was validated using the receiver operating characteristic (ROC) curve and compared with two well-known ensemble models, bagging (bag-CDT) and MultiBoostAB (MB-CDT). Results show that the proposed RF-CDT model had better performance than the single CDT model and hybrid bag-CDT and MB-CDT models. The findings in the present study overall confirm that a combination of the meta model with a decision tree classifier could enhance the prediction power of the single landslide model. The resulting susceptibility maps could be effective for enforcement of land management regulations to reduce landslide hazards in the study area and other similar areas in the world. |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000460742200007 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/15049]  |
| 专题 | 岩土力学所知识全产出_期刊论文 国家重点实验室知识产出_期刊论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China; 2.Xian Univ Sci & Technol, Coll Geol & Environm, Xian 710054, Shaanxi, Peoples R China; 3.Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam |
| 推荐引用方式 GB/T 7714 | He, Qingfeng,Xu, Zhihao,Li, Shaojun,et al. Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling[J]. ENTROPY,2019,21(2):-. |
| APA | He, Qingfeng.,Xu, Zhihao.,Li, Shaojun.,Li, Renwei.,Zhang, Shuai.,...&Chen, Wei.(2019).Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling.ENTROPY,21(2),-. |
| MLA | He, Qingfeng,et al."Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling".ENTROPY 21.2(2019):-. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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