Extension of FEMA and SMUG models with Bayesian best-worst method for disaster risk reduction-Reference-Cited by-同舟云学术

Extension of FEMA and SMUG models with Bayesian best-worst method for disaster risk reduction

Published:2021-12 Issue: Volume:66 Page:102631
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Yanilmaz Sumeyye^ORCID,Baskak Dilber^ORCID,Yucesan Melih^ORCID,Gul Muhammet

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology

Reference68 articles.

1. Multivariate data analysis for socio-economic indicators: an empirical application for Turkey;Erkan;J. Aksarav Univ. Faclty Econ. Administrative Sci.,2019

2. Disaster hazards and risks of Tunceli province;Öner,2007

3. Disaster risk evaluation–other quantitative methods;Agrawal,2018

4. Ege üniversitesi tıp fakültesi hastanesi afet yönetimi Ekibine Olağandışı Durumlara hazırlıklı Olma Konusunda Verilen Eğitimin Değerlendirilmesi ve Uygulamanın Sınanması;Çelikli,2010

5. Best-worst multi-criteria decision-making method;Rezaei;Omega,2015

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