Abstract
In the context of a Multi-criteria Decision Aiding process, eliciting a decision maker’s (DM) preferences is a crucial preliminary step. In this paper, we consider the Promethee II outranking method and a aggregation-disaggregation elicitation approach. The DM is asked to provide a set of partial yet rather holistic information about, for instance, his preference of one action over another. The goal is to discover the parameter values of Promethee II that best represents the DM’s preferences. However, the partial information that is provided can take many forms and the goal of this work is to investigate what impact both the nature and the quantity of information – which we will globally call the information structure – has on the quality of the elicitation process’ result. We adopt an empirical approach that aims at providing some insights to guide a future, deeper exploration. However, the results so far already suggest some interesting preliminary conclusions.
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Eppe, S., De Smet, Y. (2012). Studying the Impact of Information Structure in the PROMETHEE II Preference Elicitation Process: A Simulation Based Approach. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_40
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DOI: https://doi.org/10.1007/978-3-642-31724-8_40
Publisher Name: Springer, Berlin, Heidelberg
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