Title: Comparison of a novel single reference point multi-attribute decision making method with EDAS method
Authors: Sirine Boujelben; Mohamed Souissi
Addresses: Optimization, Logistics and Business Intelligence Research Laboratory (MODILS), Faculty of Economic Science and Management of Sfax, University of Sfax, Sfax 3018, Tunisia ' Optimization, Logistics and Business Intelligence Research Laboratory (MODILS), Faculty of Economic Science and Management of Sfax, University of Sfax, Sfax 3018, Tunisia
Abstract: The present work aims to introduce a new method called the evaluation based on deviation from median attribute values (EDMAV) to solve the multi-attribute decision problems. This method is based on the deviation of each alternative from to the reference median solution with respect to each criterion. However, the proposed method combines the results of two different models to get the global score of each alternative, namely weighted arithmetic mean (WAM) and weighted median model (WMed). A ranking of alternatives is performed based on the value of a joint generalised criteria computed according to the results of these models. The proposed method is applied on illustrative example in order to illustrate its applicability, usefulness, and effectiveness and it has been compared with the evaluation based on distance from average solution (EDAS) method.
Keywords: multi-attribute decision; operational research; weighted median; average; single reference point.
International Journal of Operational Research, 2025 Vol.52 No.3, pp.360 - 381
Received: 14 Jan 2022
Accepted: 24 Jul 2022
Published online: 27 Feb 2025 *