Communication Dans Un Congrès Année : 2017
Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models
1 Lab-STICC_IMTA_CID_DECIDE (Technopole Brest Iroise CS 83818 29238 BREST CEDEX 3 - France)
"> Lab-STICC_IMTA_CID_DECIDE
2 IMT Atlantique - LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - Campus de Brest :-Technopôle Brest-Iroise CS 8381829238 BREST Cedex 3 - France)
"> IMT Atlantique - LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information
3 Lero - Lero, the Irish Software Research Centre (University of Limerick) (Irlande)
"> Lero - Lero, the Irish Software Research Centre (University of Limerick)
4 MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet (Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet - Technopôle Brest Iroise - CS 83818 - 29238 BREST Cedex 3 - France)
"> MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet
5 LEGO - Laboratoire d'Economie et de Gestion de l'Ouest (12 avenue Victor Le Gorgeu - CS 93837 29238 BREST CEDEX 3 - France) "> LEGO - Laboratoire d'Economie et de Gestion de l'Ouest

Résumé

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 et versions

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

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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