SIMULATION TECHNIQUES FOR THE SENSITIVITY ANALYSIS OF MULTICRITERIA DECISION-MODELS

This paper presents a simulation approach for high dimensional sensiti vity analysis of the weights of multi-criteria decision models. This a pproach allows simultaneous changes of the weights and generates resul ts that can easily be analyzed statistically to provide insights into multi-criteria model recommendations. In this study we consider three cases: no information, order information, and partial information rega rding the weights. Our approach also allows investigation of sensitivi ty to the form of multi-criteria decision models. The simulation proce dures we propose can also be used to aide in the actual decision proce ss, particularly when the task is to select a subset of superior alter natives. (C) 1997 Elsevier Science B.V.