Research Article | OPEN ACCESS
A New Early Warning Index Selection and Weight Assignment Method for Urban Significant Emergency in Uncertain Environment
1Qiansheng Zhang, 1Bailin Xie and 2Yirong Huang
1School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510420, China
2Sun Yat-sen Business School, Sun Yat-sen University, Guangzhou 510275, China
Research Journal of Applied Sciences, Engineering and Technology 2013 22:5272-5277
Received: October 22, 2012 | Accepted: December 20, 2012 | Published: May 25, 2013
Abstract
In the complex real-life environment, many index values of urban emergency are easily expressed by fuzzy linguistic terms. In this study, we present a new weight assignment approach for the selected warning indexes of urban emergency by using extended fuzzy AHP and the urgent decision-making approach for uncertain urban emergency is then presented. By ranking of the aggregation values of all the warning indexes of urban emergency, we can order the severity of each urban emergency and select the most severe urban emergency. Finally, a numeric example is given to illustrate the application of the presented fuzzy warning index weighting method to the urgent decision-making for uncertain urban emergency involving fuzzy evaluation value.
Keywords:
Aggregation operator, fuzzy AHP, urban emergency, warning index, weight,
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.
|
|
|
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
|
Information |
|
|
|
Sales & Services |
|
|
|