Abstract
In Multi-Criteria Decision Aiding, one of the current challenges involves the proper integration and tuning of the preference models in real-life contexts. In this article, we consider the multi-criteria sorting problem where the decision maker’s preferences fall within the outranking paradigm. Following recent advances on extensions of classical majority-rule sorting models, we propose a methodology for adapting them to the perspective of the decision maker. We illustrate the application of the methodology on a real-world problem linked to the evaluation of contributors within Free/Libre Open Source Software communities. The experiments that we have carried out show that the various considered model extensions appear to be useful from the perspective of decision makers in a real-life preference elicitation process, and that the proposed methodology gives useful indications that can serve as guidelines for analysts involved in other elicitation processes.
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Acknowledgments
This work was supported, in part, by Science Foundation Ireland grants 10/CE/I1855 and 13/RC/2094 to Lero - the Irish Software Research Centre (www.lero.ie).
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Olteanu, AL., Meyer, P., Barcomb, A., Jullien, N. (2017). Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models. In: Rothe, J. (eds) Algorithmic Decision Theory. ADT 2017. Lecture Notes in Computer Science(), vol 10576. Springer, Cham. https://doi.org/10.1007/978-3-319-67504-6_3
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DOI: https://doi.org/10.1007/978-3-319-67504-6_3
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