SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

Since it is not possible to determine the exact time of a natural disaster’s occurrence and the amount of physical and financial damage on humans or the environment resulting from their event, decision-makers need to identify areas with potential vulnerability in order to reduce future los...

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Bibliographic Details
Main Authors: Saro Lee, Mahdi Panahi, Hamid Reza Pourghasemi, Himan Shahabi, Mohsen Alizadeh, Ataollah Shirzadi, Khabat Khosravi, Assefa M. Melesse, Mohamad Yekrangnia, Fatemeh Rezaie, Hamidreza Moeini, Binh Thai Pham, Baharin Bin Ahmad
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
GIS
SEVUCAS
seismic vulnerability assessment
SWARA
RBF
TLBO
Tehran
seismic retrofitting
Online Access:https://www.mdpi.com/2076-3417/9/17/3495

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