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

A new method of hybrid multiple attribute decision making with weight information unknown

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

3 Author(s)
Lv Yue-jin ; Coll. of Math. & Inf. Sci., Guangxi Univ., Nanning, China ; Cheng Hong-tao ; Yang Wu-song

This paper focuses on the hybrid multiple attribute decision making problem with weight information unknown and defines some new operations of 2-tuple linguistic firstly. Then, an optimization approach based on maximizing deviation theory is proposed to determine the weights of the attributes which they can be used to aggregate the estimated values of different attributes into a collective 2-tuple linguistic by 2-tuple linguistic weighting arithmetic average operator. Finally, the proposed approach is proved to be effective and comprehensive with a numerical example.

Published in:

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on  (Volume:3 )

Date of Conference:

29-31 Oct. 2010

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.