Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran-Reference-Cited by-同舟云学术

Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran

Published:2020-11 Issue: Volume:50 Page:101705
ISSN:2212-4209
Container-title:International Journal of Disaster Risk Reduction
language:en
Short-container-title:International Journal of Disaster Risk Reduction

Author:

Yariyan Peyman,Zabihi Hasan,Wolf Isabelle D.,Karami Mohammadreza,Amiriyan Sohrab

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology

Reference217 articles.

1. The human impact of earthquakes: a historical review of events 1980-2009 and systematic literature review;Doocy;Plos Curr,2013

2. Reassurance or reason for concern: security forces as a crisis management strategy;Cruz-Milán;Tourism Manag.,2016

3. View of Islam on earthquakes, human vitality and disaster;Ghafory-Ashtiany;Disaster Prev. Manag.,2009

4. Wenchuan earthquake-induced landslides: an overview;Xu;Geol. Rev.,2010

5. The study on assessment index of urban social vulnerability to earthquake disaster;Zhang;Technol. Guide,2010

Cited by 104 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. System dynamics simulation follow-up fuzzy cognitive map for investigating the effect of risks on relief in crisis management;Engineering Applications of Artificial Intelligence;2024-10

2. Assessing Earthquake-Induced Vulnerability of Critical Infrastructure in Kahramanmaraş Using Geographic Information Systems and Remote Sensing Technologies;Journal of the Indian Society of Remote Sensing;2024-09-05

3. Quantifying urban spatial resilience using multi-criteria decision analysis (MCDA) and back propagation neural network (BPNN);International Journal of Disaster Risk Reduction;2024-09

4. Geological hazard risk assessment and rural settlement site selection using GIS and random forest algorithm;Ecological Indicators;2024-09

5. Groundwater level prediction for excessive agricultural irrigation to achieve SDGs: Vulnerability assessment using field-based empirical method;Groundwater for Sustainable Development;2024-08