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Conference Papers Year : 2017

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

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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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Dates and versions

hal-01624693 , version 1 (26-10-2017)

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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. pp.35 - 49, ⟨10.1007/978-3-319-67504-6_3⟩. ⟨hal-01624693⟩
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