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Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

In this study, we introduced novel hybrid of evidence believe function (EBF) with logistic regression (EBF-LR) and logistic model tree (EBF-LMT) for landslide susceptibility modelling. Fourteen conditioning factors were selected, including slope aspect, elevation, slope angle, profile curvature, pla...

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主要な著者:	Chen, Wei, Zhao, Xia, Shahabi, Himan, Shirzadi, Ataollah, Khosravi, Khabat, Chai, Huichan, Zhang, Shuai, Zhang, Lingyu, Ma, Jianquan, Chen, Yingtao, Wang, Xiaojing, Ahmad, Baharin, Li, Renwei
フォーマット:	論文
出版事項:	Taylor and Francis Ltd. 2019
主題:	TH434-437 Quantity surveying
オンライン･アクセス:	http://eprints.utm.my/id/eprint/88728/ http://dx.doi.org/10.1080/10106049.2019.1588393
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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