GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Hazards and disasters have always negative impacts on the way of life. Landslide is an overwhelming natural as well as man-made disaster that causes loss of natural resources and human properties throughout the world. The present study aimed to assess and compare the prediction efficiency of differe...

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Veröffentlicht in:	Di xue qian yuan. 2021-03, Vol.12 (2), p.857-876
Hauptverfasser:	Ali, Sk Ajim, Parvin, Farhana, Vojteková, Jana, Costache, Romulus, Linh, Nguyen Thi Thuy, Pham, Quoc Bao, Vojtek, Matej, Gigović, Ljubomir, Ahmad, Ateeque, Ghorbani, Mohammad Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytic network process Classifiers Decision analysis Decision making Decision trees Evaluation Fuzzy DEMATEL Geographic information system Hydrology Land cover Landslide susceptibility modeling Landslides Machine learning Man made disasters Multiple criterion Natural resources Naïve Bayes classifier Random forest classifier River basins Root-mean-square errors
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