Scaling Transformation in the Rembrandt Technique: Examination of the Progression Factors

This paper examines a decision support system (DSS) for the appraisal of complex decision problems using multi-criteria decision analysis (MCDA). The DSS makes use of a structured hierarchical approach featuring the multiplicative AHP also known as the REMBRANDT technique. The paper addresses the influence of the progression factor used when transforming the decisionmakers verbal responses from a semantic to a geometric scale using the technique. Conventionally, the progression factor 2 is used for calculating scores of alternatives and √2 for calculation of criteria weights. Tests are conducted on the magnitude of these progression factors in order to examine the sensitivity towards the final outcome of an analysis. For illustration a case study dealing with the appraisal task of a large transport infrastructure project is presented. Finally, conclusions are drawn and perspectives are set out in the context of the proposed DSS and its use for strategic decision making.