Cart (Loading....) | Create Account
Close category search window
 

A multi-attribute group decision-making method approaching to group ideal solution

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
$31 $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)

This paper extends the TOPSIS framework of multi-attribute individual decision-making to group decision-making situations by introducing the concepts of group positive-ideal and group negative-ideal solutions. In our method, a relative-closeness to the group positive-ideal solution is defined to determine the ranking order of all alternatives by calculating the distances to both the group positive-ideal and group negative-ideal solutions simultaneously. The solving procedure of the method is developed, and finally a numerical example is shown to demonstrate its application. The proposed method can produce a clear preference order of a set of alternatives, and even evade the difficulty of group utility aggregation.

Published in:

Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on

Date of Conference:

18-20 Nov. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.