A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods-Reference-Cited by-同舟云学术

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

Published:2019-06 Issue: Volume:573 Page:311-323
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Khosravi Khabat,Shahabi Himan^ORCID,Pham Binh Thai,Adamowski Jan,Shirzadi Ataollah^ORCID,Pradhan Biswajeet^ORCID,Dou Jie^ORCID,Ly Hai-Bang,Gróf Gyula,Ho Huu Loc,Hong Haoyuan^ORCID,Chapi Kamran^ORCID,Prakash Indra

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference72 articles.

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4. A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping;Althuwaynee;Landslides,2014

5. Erodibility prioritization of sub-watersheds using morphometric parameters analysis and its mapping: A comparison among TOPSIS, VIKOR, SAW, and CF multi-criteria decision making models;Ameri;Sci. Total Environ.,2018

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