Research Article | OPEN ACCESS
A New Early Warning Evaluation Method and Decision Mechanism for Urban Significant Emergency in Uncertain Environment
1Qiansheng Zhang, 2Yirong Huang and 3Fuchun Liu
1School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510420, China
2Sun Yat-Sen Business School, Sun Yat-Sen University, Guangzhou 510275, China
3Faculty of Computer, Guangdong University of Technology, Guangzhou 510006, China
Research Journal of Applied Sciences, Engineering and Technology 2013 19:4745-4750
Received: September 30, 2012 | Accepted: December 02, 2012 | Published: May 10, 2013
Abstract
This study presents a new early warning evaluating method and decision mechanism for urban emergency in which the risk factors are assessed by fuzzy numbers. By using the fuzzy preference relation matrix and the extended fuzzy AHP, the relative weight of each risk factor can be estimated. Then we evaluate the total fuzzy risk value by aggregating the severity of loss of risk factor and the relative weight of risk factor. According to the similarity between the fuzzy comprehensive risk value and the pre-established risk grade, the early warning grade of urban significant emergency can be determined for urgent emergency decision-making.
Keywords:
Decision making, risk evaluation, similarity measure, urban emergency, warning grade,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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