Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania

Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania

AbstractIn this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating Decision Tree – Certainty Factor (ICO-LADT-CF) and Fuzzy-Anal...

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Bibliographic Details
Main Authors: Romulus Costache, Hazem Ghassan Abdo, Arun Pratap Mishra, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, Chaitanya B. Pande, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Jasem A. Albanai
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Prahova river basin
machine learning
hybrid models
flood susceptibility
risk assessment
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2023.2281241

Internet

https://www.tandfonline.com/doi/10.1080/19475705.2023.2281241

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