A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

Landslides are dangerous events which threaten both human life and property. The study aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this reason, previous landslide events were analyzed with 16 landslide conditioning factors. Landslide inventory was divid...

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Bibliographic Details
Main Authors: Quoc Bao Pham, Yacine Achour, Sk Ajim Ali, Farhana Parvin, Matej Vojtek, Jana Vojteková, Nadhir Al-Ansari, A. L. Achu, Romulus Costache, Khaled Mohamed Khedher, Duong Tran Anh
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
fuzzy dematel-anp
bivariate frequency ratio
multivariate logistic regression
machine learning
landslide susceptibility mapping
Online Access:http://dx.doi.org/10.1080/19475705.2021.1944330

Internet

http://dx.doi.org/10.1080/19475705.2021.1944330

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