By Topic

A goal programming approach to Group Decision Making with incomplete linguistic preference relations

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

4 Author(s)
Jiang Jiang ; Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China ; Xuan Li ; Ke-wei Yang ; Ying-Wu Chen

In order to solve Group Decision Making (GDM) problems where the preference relations are provided by decision makers with incomplete linguistic labels, this paper develops a GDM approach on the basis of multiple objective optimization and goal programming methods. The proposed approach first analyzes the incomplete linguistic preference relation and then builds the corresponding optimization model. Subsequently, a programming model is developed to minimize the inconsistency among the decision makers' opinions. By solving the programming model, the ranking of alternatives or selection of the most desirable alternative can be obtained according to the optimization result. A numerical example with incomplete linguistic preference relations is examined to illustrate and show the applicability of the proposed approach.

Published in:

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on  (Volume:2 )

Date of Conference:

29-31 Oct. 2010