Optimizing stakeholder weights in group AHP for consensus creation, a contribution to the MAMCA methodology

Abstract The current solutions for weight determination of conflicting stakeholder groups participating in group decisions apply subjective weight allocation to create the overall priority. This paper offers a mathematical solution for the weight allocation by preference vector-distance minimization using the Euclidean metric. The proposed technique has been tested by numerical examples and a real-world case study on an automated vehicle implementation survey. All results show that from the aspect of rank concordance, measured by Kendall W, Spearman’s Rho, and Garuti indices, the new method outperforms the equal weight and the multi-actor multi-criteria method. The proposed weight allocation technique can be beneficial for theoreticians and practitioners of multi-criteria decision-making.