A novel belief function reasoning approach to MCDM under uncertainty

There are no files associated with this record.

Title A novel belief function reasoning approach to MCDM under uncertainty
Author Fan, Yuliang; Nguyen, Anne T.
Journal Name International Journal of Operational Research
Editor Angappa Gunasekaran
Year Published 2011
Place of publication United Kingdom
Publisher Inderscience
Abstract This paper presents a novel belief function reasoning approach to the multiple criteria decision-making problem under uncertainty. In contrast to exist approaches, which make decisions based on the expected utility values derived directly from the combined belief function distributions, we introduce an alternative two-level reasoning transferable belief model approach to the aggregation and decision-making phases. Within this framework, the analyst can combine the beliefs regarding various sub-criteria at the credal level, and calculate the expected utility values for decision making at the pignistic level based on real probability distributions. We also propose a measure of uncertainty to capture the degrees of total uncertainty involved in different belief assessments. This measure can assist the decision maker in making rational decisions based on incomplete information.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1504/IJOR.2011.041346
Volume 11
Issue Number 3
Page from 316
Page to 330
ISSN 1745-7645
Date Accessioned 2012-03-01; 2012-03-09T05:29:54Z
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Analysis of Algorithms and Complexity; Applied Mathematics; Decision Support and Group Support Systems
URI http://hdl.handle.net/10072/43494
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

Show simple item record

Griffith University copyright notice