DOCUMENT DE TRAVAIL 2007-020 Characterisation of multi-criteria methods for dynamic decision-making situations

This paper is concerned with the following question: How to choose among Multi-Criteria Decision Aid (MCDA) methods to solve dynamic decision making problems under uncertainty? To address this question, a methodology has been proposed, which is based on a characterization of the MCDA methods. The MCDA methods are characterized according to 1) sufficient conditions that allow their use to solve dynamic decision-making situations and 2) different other desired properties (neutrality, anonymous, fidelity, dominance, independence, compensatory level, conviviality, transparency, etc.). These properties might be seen as overall quality of the MCDA methods. This paper shows the characterization results for the following MCDA methods: dominance, weighted sum, lexicographical screening, TOPSIS, ELECTRE III, and PROMETHEE II.