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     Research Journal of Applied Sciences, Engineering and Technology


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
http://dx.doi.org/10.19026/rjaset.5.4276  |  © The Author(s) 2013
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,


References


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
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