Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models

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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Communication dans un congrès
ADT 2017: 5th International Conference on Algorithmic Decision Theor, Oct 2017, Luxembourg, Luxembourg. Springer, Proceedings ADT 2017: 5th International Conference on Algorithmic Decision Theor, pp.35 - 49, 2017, 〈10.1007/978-3-319-67504-6_3〉
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https://hal.archives-ouvertes.fr/hal-01624693
Contributeur : Bibliothèque Télécom Bretagne <>
Soumis le : jeudi 26 octobre 2017 - 16:21:55
Dernière modification le : jeudi 24 janvier 2019 - 13:40:02

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Alexandru Liviu Olteanu, Patrick Meyer, Ann Barcomb, Nicolas Jullien. Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models. ADT 2017: 5th International Conference on Algorithmic Decision Theor, Oct 2017, Luxembourg, Luxembourg. Springer, Proceedings ADT 2017: 5th International Conference on Algorithmic Decision Theor, pp.35 - 49, 2017, 〈10.1007/978-3-319-67504-6_3〉. 〈hal-01624693〉

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