Tentative guidelines to help choosing an appropriate MCDA method |
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| Institution: | 1. LGI, CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France;2. Thales Research & Technology, Palaiseau Cedex 91767, France;3. Sorbonne Université, CNRS, Laboratoire d’Informatique de Paris 6, LIP6, Paris F-75005, France;1. Department of Economics and Business, University of Catania, Corso Italia, 55, 95129 Catania, Italy;2. Institute of Computing Science, Poznań University of Technology, 60-965 Poznań, Poland;3. Systems Research Institute, Polish Academy of Sciences, 01-447 Warsaw, Poland;4. University of Portsmouth, Portsmouth Business School, Centre of Operations Research and Logistics (CORL), Richmond Building, Portland Street, Portsmouth PO1 3DE, United Kingdom;1. Chemical Engineering and Materials Science Department, University of Mons, Belgium;2. Computer and Management Engineering Department, University of Mons, University of Mons, 20 Place du Parc, 7000 Mons, Belgium;1. Swiss Federal Institute of Aquatic Science and Technology, Eawag, P.O. Box 611, CH-8600 Duebendorf, Switzerland;2. Business School, University of Strathclyde, 199 Cathedral Street, Glasgow G4OQU, Scotland, UK;3. Swiss Federal Institute of Aquatic Science and Technology, Eawag, P.O. Box 611, CH-8600 Duebendorf, Switzerland;1. Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin ul. Żołnierska 49, 71-210 Szczecin, Poland;2. Institute of Management, University of Szczecin, ul. Cukrowa 8, 71-004 Szczecin, Poland |
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| Abstract: | Despite the development of a large number of refined multicriterion decision aid (MCDA) methods, none can be considered as the `super method' appropriate to all decision making situations. Hence, how can one choose an appropriate method to a specific decision situation? Recent experimental studies in psychology and behaviour have revealed, on the one hand, that the human thinking is not to be modelled by logical rules and calculations, and, on the other hand, that the response mode affects the preference formation as well as the use of compensatory or noncompensatory strategies. The aim of this paper is to draw a conceptual framework for articulating tentative guidelines to choose an appropriate MCDA method. This paper also presents the results of the comparison of well known multicriterion aggregation procedures (MCAP) on the basis of these guidelines. In our opinion this study can constitute a first step for proposing a methodological approach to select an appropriate MCDA method to a specific decision making situation. Such an approach should be validated and may be integrated into a decision support system. Moreover, the framework suggested is helpful to develop useful methods and to address neglected issues within the field. |
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