REVIEW ARTICLE
Modeling and Simulation of Emergency Service Facilities Location Problem Under Fuzzy Environment
Zixue Guo*, Meiran Qi
School of Management, Hebei University, No.180 Wusidong Road. Baoding City, Hebei Province, 071002, China
Article Information
Identifiers and Pagination:
Year: 2014Volume: 8
First Page: 48
Last Page: 52
Publisher Id: TOMEJ-8-48
DOI: 10.2174/1874155X01408010048
Article History:
Received Date: 11/11/2013Revision Received Date: 11/02/2014
Acceptance Date: 03/03/2014
Electronic publication date: 21/3/2014
Collection year: 2014
© 2014 Guo and Qi
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The emergency service facilities location is one of the most important issues in the emergency management. This study focused on the location set covering problem (LSCP) for emergency service facilities under fuzzy environment. On the basis of defining the signed distance of trapezoidal fuzzy number, the ranking rules of trapezoidal fuzzy number are defined, the model of emergency service facilities location with fuzzy restraints is proposed, and the solution algorithm for the emergency service location based on the ordering rules of trapezoidal fuzzy number is given. Finally, a numerical simulation is used to illustrate the application of the method, which shows that the algorithm is feasible and advantageous.
Keywords: Emergency service facility, location model, optimization modeling, simulation, trapezoidal fuzzy number.
