Volume 12, Issue 24 (9-2021)
J Watershed Manage Res 2021, 12(24): 28-44 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Afzali A, Sirjani A. (2021). Site Selection of Crisis Management Bases using AHP Method and Fuzzy Logic. J Watershed Manage Res. 12(24), 28-44. doi:10.52547/jwmr.12.24.28
URL: http://jwmr.sanru.ac.ir/article-1-1136-en.html
URL: http://jwmr.sanru.ac.ir/article-1-1136-en.html
Atikeh Afzali *1, Ali Sirjani2
1- Natural Resources Engineering, Watershed Management
2- Arian Institute of Higher Education, Science and Technology
2- Arian Institute of Higher Education, Science and Technology
Abstract: (2579 Views)
Extended Abstract
Introduction and Objective: Nowadays, it is necessary to use the facilities available in the communities to prevent all kinds of possible crises or to reduce the amount of damage. To deal with these crises, it is necessary to establish crisis management centers with the aim of carrying out preventive measures, crisis preparedness and response, providing relief to crisis areas, and temporary accommodation of victims. This study was conducted with the aim of locating the optimal areas for the construction of crisis management sites in the city of Babol.
Material and Methods: In this study, effective criteria include of slope, slope direction, altitude, distance from commercial, medical, administrative, disciplinary, religious, educational use, distance from road and river in the location have been selected and weighted by experts with AHP method. After synchronizing all information layers, hierarchical analysis algorithms and fuzzy algorithms were applied to them in order to find the optimal location.
Results: The results showed that, in AHP zoning, an area of 168 hectares, equivalent to 5.56 percent, has the best conditions for creating a crisis management site in the city of Babol. In fuzzy method, four operators in cloud of GAMA, Product, AND, OR were used. The AND operator had a better result than the other operators. In the operator, 103 hectares' area of the city equals 3.4 percent, is prone to creating a crisis management site.
Conclusion: The output of the models designed by the hierarchical method and fuzzy logic were different. The reason for this difference was considering the criteria with the same weight in the fuzzy model and considering the layers with different weights in the AHP model. The output results of the AHP model, which was a combination of standardized information layers using the opinions of experts, were more accurate due to the involvement of expert opinions.
Introduction and Objective: Nowadays, it is necessary to use the facilities available in the communities to prevent all kinds of possible crises or to reduce the amount of damage. To deal with these crises, it is necessary to establish crisis management centers with the aim of carrying out preventive measures, crisis preparedness and response, providing relief to crisis areas, and temporary accommodation of victims. This study was conducted with the aim of locating the optimal areas for the construction of crisis management sites in the city of Babol.
Material and Methods: In this study, effective criteria include of slope, slope direction, altitude, distance from commercial, medical, administrative, disciplinary, religious, educational use, distance from road and river in the location have been selected and weighted by experts with AHP method. After synchronizing all information layers, hierarchical analysis algorithms and fuzzy algorithms were applied to them in order to find the optimal location.
Results: The results showed that, in AHP zoning, an area of 168 hectares, equivalent to 5.56 percent, has the best conditions for creating a crisis management site in the city of Babol. In fuzzy method, four operators in cloud of GAMA, Product, AND, OR were used. The AND operator had a better result than the other operators. In the operator, 103 hectares' area of the city equals 3.4 percent, is prone to creating a crisis management site.
Conclusion: The output of the models designed by the hierarchical method and fuzzy logic were different. The reason for this difference was considering the criteria with the same weight in the fuzzy model and considering the layers with different weights in the AHP model. The output results of the AHP model, which was a combination of standardized information layers using the opinions of experts, were more accurate due to the involvement of expert opinions.
Type of Study: Research |
Subject:
سنجش از دور و سامانه های اطلاعات جغرافيايی
Received: 2021/02/13 | Accepted: 2021/08/14
Received: 2021/02/13 | Accepted: 2021/08/14
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
