Research Paper

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

A.L. Olteanu, P. Meyer, A. Barcomb and N. Jullien




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.


  author = {Olteanu, Alexandru-Liviu and Meyer, Patrick and Barcomb, Ann and Jullien, Nicolas},
  editor = {Rothe, J{\"o}rg},
  title = {Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models},
  booktitle = {Algorithmic Decision Theory: 5th International Conference, ADT 2017, Luxembourg, Luxembourg, October 25--27, 2017, Proceedings},
  year = {2017},
  publisher = {Springer International Publishing},
  address = {Cham},
  pages = {35--49},
  isbn = {978-3-319-67504-6},
  doi = {10.1007/978-3-319-67504-6_3},