An overview of multi-criteria decision analysis (MCDA) application in managing water-related disaster events: analyzing 20 years of literature for flood and drought …
This paper provides an overview of multi-criteria decision analysis (MCDA) applications in
managing water-related disasters (WRD). Although MCDA has been widely used in …
managing water-related disasters (WRD). Although MCDA has been widely used in …
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …
[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models
ARMT Islam, S Talukdar, S Mahato, S Kundu… - Geoscience …, 2021 - Elsevier
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
Inundation risk assessment based on G-DEMATEL-AHP and its application to Zhengzhou flooding disaster
This study proposed an integrated approach to investigate the flooding risk in urban areas of
mega-cities. The new method integrated the grey decision-making trial and evaluation …
mega-cities. The new method integrated the grey decision-making trial and evaluation …
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees
R Abedi, R Costache… - Geocarto …, 2022 - Taylor & Francis
Historical exploration of flash flood events and producing flash-flood susceptibility maps are
crucial steps for decision makers in disaster management. In this article, classification and …
crucial steps for decision makers in disaster management. In this article, classification and …
Urban ecological security assessment and forecasting using integrated DEMATEL-ANP and CA-Markov models: A case study on Kolkata Metropolitan Area, India
Due to rapid urbanization, Indian cities have faced serious environmental problems,
including pollution, loss of urban green space, increasing heat island phenomena, and …
including pollution, loss of urban green space, increasing heat island phenomena, and …
Urban flooding risk assessment based on GIS-game theory combination weight: A case study of Zhengzhou City
J Peng, J Zhang - International journal of disaster risk reduction, 2022 - Elsevier
Flood disaster is one of the most frequent and damaging disasters in the world. In the
context of global climate change, urban flooding is occurring more frequently and has more …
context of global climate change, urban flooding is occurring more frequently and has more …
Flash flood susceptibility modeling using new approaches of hybrid and ensemble tree-based machine learning algorithms
Flash flooding is considered one of the most dynamic natural disasters for which measures
need to be taken to minimize economic damages, adverse effects, and consequences by …
need to be taken to minimize economic damages, adverse effects, and consequences by …
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
The flooding in Bangladesh during monsoon season is very common and frequently
happens. Consequently, people have been experiencing tremendous damage to properties …
happens. Consequently, people have been experiencing tremendous damage to properties …
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 …
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …