By Topic

Integrated model for grey multi-attribute risk group decision-making

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)
Luo Dang ; College of Mathematics and Information Sciences, North China University of Conservancy and Hydroelectric Power, Zhengzhou, China ; Zhou Ling

The problem of grey multi-attribute risk group decision-making is studied, when the attributive values are interval grey numbers and the attribute weights are unknown. Using grey incidence method of the grey system theory, relative deviation degree based on the optimum alternative group and the worst alternative group, a new method is proposed. It establishes an integrated optimization model dealing the weights of index based on that the deviation of group members is minimum and the deviation between two groups is maximum. By using the model, the attribute weights can be gotten. Then, based on subjective preferences of decision-maker group, synthetically deviations of each alternative to the optimum alternative group and the worst alternative group are calculated to determine the ranking order of alternatives. Finally, an example is given to show the feasibility and availability of this method.

Published in:

2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)

Date of Conference:

10-12 Nov. 2009