The multi-actor multi-criteria analysis (MAMCA) is a methodology which allows for the inclusion of multiple stakeholders in the process of evaluation and decision making. It is important in particular the field of transport project appraisal, as many projects fail to be implemented because of lack of support from one or more key stakeholders. In contrast to many multi-criteria decision analysis (MCDA) methods, multiple stakeholders can use different criteria trees in MAMCA (with their own preferences). The steps of the classic MCDA process include: definition of problems, alternatives and criteria, analysis of alternatives, determination and analysis of scores, and the drawing of conclusions. Unlike classic MCDA, MAMCA involves stakeholders after defining the alternatives. The stakeholder analysis is conducted, stakeholders are identified and the criteria tree for each of them can be constructed. In this way, MAMCA explicitly takes into account their own objectives. In the end, the advantages and disadvantages of each of the proposed scenarios are presented and possible consensus scenarios are discussed. Yet in some cases, it is challenging to reach a consensus based on MAMCA results. In this contribution, we propose a way to help facilitators and stakeholders to find a consensus utilizing the PROMETHEE method in MAMCA. Doan and De Smet recently developed an alternative weight sensitivity analysis for PROMETHEE based on mixed integer linear programming (MILP). MILP avoids altering all the weights and reduces the distance from the original weights compared to classic weight stability intervals (WSI) (which can find the minimum weight modification to change other alternatives to be ranked first). It can be applied in the MAMCA methodology to offer a consensus between different stakeholders by taking the inverse optimization point of view. The MILP-MAMCA method allows computing two possible indicators R1 and R2 (with two different ways to deal with the maximum weight modification), which indicate the distance among all stakeholders for each alternative to reach the consensus. We apply this new approach on two MAMCA project cases. Then we examine how to integrate this model into the existing MAMCA methodology and visualize the results with the MAMCA software.
Original languageEnglish
Number of pages1
Publication statusPublished - 21 Jun 2019
Event25th International Conference on Multiple Criteria Decision Making - ITU Maçka Campus, Istanbul, Turkey
Duration: 17 Jun 201921 Jun 2019


Conference25th International Conference on Multiple Criteria Decision Making
Abbreviated titleMCDM 2019
Internet address

    Research areas

  • MAMCA, MILP, decision methods, weight sensitivity analysis, consensus

ID: 46049273