Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

An Extended Dominance-Based Rough Set Approach to Group Sorting 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
$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)

The main difficulty with application of many existing multiple criteria group sorting decision aiding methods lies in acquisition of the decision maker's preferential information. Very often, this information has to be given in term of preference model parameters, like importance weights, substitution rates and various thresholds. It is acknowledged, however, that decision makers may prefer to make exemplary decisions than to explain them in terms of special functional model parameters. For this reason, we present a rough set approach to group sorting decisions making in this paper. To deal with decision of multiple decision makers we extend Dominance-based Rough set by introducing specific concepts related to dominance with respect to minimal profiles of evaluations given by multiple decision makers. Our approach differs from existing group decision approaches for we characterize conditions for a consensus attainable by multiple decision makers considered as a whole. Such a perspective permits to handle interactions between decision makers. The usefulness of this approach is illustrated by an example.

Published in:

Management Science and Engineering, 2007. ICMSE 2007. International Conference on

Date of Conference:

20-22 Aug. 2007