An integrated approach to a multi-attribute decision problem through a case study

Abstract

This article presents an integrated approach to reaching, a robust decision in a full-scale multi-attribute decision problem inspired from a real-word case. The Hypothetical Equivalents and In-Equivalents Method (HELM) is first validated using the full-scale decision problem. The major drawbacks of the HEIM have been identified. In an attempt to eliminate the drawbacks of the HEIM, the Game Relative Importance Method (GRIM) is integrated into the method for a robust solution. The results obtained from the application of this integrated approach to the real-life decision problem have been presented. We conclude that the new approach presented yields good and efficient solutions with less computational time in comparison to applying only the HEIM. Copyright © 2006 International Federation for Information Processing.