By Topic

A Quick Group Decision-making Planning Method for Emergency Response

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Huizhang Shen ; Department of Management Information Systems, Shanghai Jiao Tong University, Shanghai, 200052, CHINA, e-mail: ; Jidi Zhao

To support the group decision-making in emergency response, it is important to research on how to reach consensus quickly and reliably in the procedure of group decision-making. This paper proposes a new planning method to improve the efficiency of group decision-making based on Markov chain model and uses a real case example of New Orleans Hurricane Katrina to illustrate the usefulness and effectiveness of the proposed approach. The approach is quicker than conventional process in terms of two points. (1) It minimizes the human interventions and makes the most of computer system support to speed up the interactions between the decision-maker and the system. (2) It researches into the important hidden pattern in the group decision-making process, predicts the possible decision in the future and thus further speeds up the decision-making process. The authors hope that analysis of the dynamic procedure of decision-maker's preference adjustment will assist researchers not only in better understanding of group decision-making procedure but also in better design of Group Decision Support Systems for emergency response.

Published in:

Intelligence and Security Informatics, 2007 IEEE

Date of Conference:

23-24 May 2007