GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms-Reference-Cited by-同舟云学术

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

Published:2021-03 Issue:2 Volume:12 Page:857-876
ISSN:1674-9871
Container-title:Geoscience Frontiers
language:en
Short-container-title:Geoscience Frontiers

Author:

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

Funder

Agentúra na Podporu Výskumu a Vývoja

Vedecká Grantová Agentúra MŠVVaŠ SR a SAV

Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky

Slovenská Akadémia Vied

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference127 articles.

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3. Landslide susceptibility mapping for Ayvalik (western Turkey) and its vicinity by multi-criteria decision analysis;Akgun;Environ. Earth Sci.,2010

4. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm;Akgun;Comput. Geosci.,2012

5. Novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison;Althuwaynee;Int. J. Remote Sens.,2016

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