S. Amgoud, M. Amgoud, and . Serrurierbelahcene, Arguing and explaining classifications Explaining robust additive utility models by sequences of preference swaps An axiomatic approach to noncompensatory sorting methods in mcdm, i: The case of two categories Some remarks on the notion of compensation in mcdm Nonmonotonic reasoning, Proceeding of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Handbook of Knowledge RepresentationBurell, 2016] J. Burell. How the machine " thinks " : understanding opacity in machine learning algorithms. Big Data and Society, pp.160151-183217, 1986.

. Coste-marquis, Symmetric Argumentation Frameworks, Proceedings of the 8th European Conference Symbolic and Quantitative Approaches to Reasoning with Uncertainty ECSQARU, pp.317-328, 2005.
DOI : 10.1007/11518655_28

URL : https://hal.archives-ouvertes.fr/hal-00014624

. Crama, Cause-effect relationships and partially defined Boolean functions, Annals of Operations Research, vol.18, issue.1, pp.299-325, 1988.
DOI : 10.1007/BF02283750

. Datta, Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems, 2016 IEEE Symposium on Security and Privacy (SP), p.2016, 2016.
DOI : 10.1109/SP.2016.42

. Dias, An aggregation/disaggregation approach to obtain robust conclusions with electre tri On the Acceptability of Arguments and its Fundamental Role in Nonmonotonic Reasoning , Logic Programming and n-person games, EJOR Artificial Intelligence, vol.138, issue.3324, pp.332-348321, 1976.

F. B. Goodman, S. Goodman, and . Flaxman, European Union regulations on algorithmic decisionmaking and a " right to explanation " . ArXiv e-prints: 1606.08813, 2016.
DOI : 10.1609/aimag.v38i3.2741

. Greco, Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions, European Journal of Operational Research, vol.191, issue.2, pp.416-436, 2008.
DOI : 10.1016/j.ejor.2007.08.013

. Greco, Robust Ordinal Regression, Trends in Multiple Criteria Decision Analysis, pp.241-284, 2010.
DOI : 10.1007/978-1-4419-5904-1_9

URL : https://hal.archives-ouvertes.fr/hal-00614155

. Hug, Analogical classifiers: A theoretical perspective, ECAI 2016 -22nd European Conference on Artificial Intelligence, pp.689-697, 2016.

R. L. Keeney, H. Keeney, and . Raiffaköksalan, Decisions with multiple objectives: Preferences and value tradeoffs A new outranking-based approach for assigning alternatives to ordered classes, Labreuche et al., 2012] C. Labreuche, N. Maudet, and W. Ouerdane. Justifying Dominating Options when Preferential Information is Incomplete. In ECAI'12, pp.74-85, 1976.
DOI : 10.1017/CBO9781139174084

. Labreuche, A dialogue game for recommendation with adaptive preference models Learning the parameters of a multiple criteria sorting method why should i trust you? " : Explaining the predictions of any classifier, Proceedings of the 14th International Conference on Autonomous Agent and MultiAgent systems (AAMAS) ADT ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.959-967, 2011.

]. B. Roy-]-n and . Tintarev, The outranking approach and the foundations of electre methods Explanations of recommendations] Ph. Vincke. Robust solutions and methods in decision-aid, Proc. ACM conference on Recommender systems, pp.49-73, 1991.

]. D. Walton, Argumentation schemes for Presumptive Reasoning, Mahwah, N. J, 1996.