Working papers (for submission)

  • Manuel Amoussou, Khaled Belahcène, Nicolas Maudet, Vincent Mousseau, and Wassila Ouerdane. Computing explanations for a multicriteria additive value based model (Mai 2022).

  • Khaled Belahcène, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot, and Olivier Sobrie. Multiple Criteria Sorting: a model-oriented survey (Mai 2022)

  • Under submission

  • Mathieu Lerouge, Céline Gicquel, Vincent Mousseau and Wassila Ouerdane. Explaining solutions stemming from optimization systems solving the Workforce Scheduling and Routing Problem to their end-users. Submitted to EJOR. July 2022

  • Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot and Olivier Sobrie. Ranking with Multiple Points: Efficient Elicitation and Learning Procedures. Submitted to Computers & OR. April 2022.

  • Pegdwendé Minoungou, Vincent Mousseau, Wassila Ouerdane and Paolo Scotton. Learning MR-Sort models from non-monotone data. Submitted to Annals of OR (second revision). March 2022

  • 2022

  • Ali Tlili, Oumaima Khaled, Vincent Mousseau, and Wassila Ouerdane. Interactive portfolio selection involving multicriteria sorting models. Ann Oper Res (2022). https://doi.org/10.1007/s10479-022-04877-z

  • Belloir, N., Ouerdane, W., Pastor (2022). Characterizing Fake News: A Conceptual Modeling-based Approach. ER 2022 conference. Accepted (to appear)

  • Wassila Ouerdane et al (2022). Recherches en IA explicable au MICS: Modèles gaussiens, modèles génératifs et raisonnement pourl’explicabilité. Association française pour l’Intelligence Artificielle. (2022). IA & Explicabilité. Bulletin de l’AFIA, 116, 62. https://afia.asso.fr/wp-content/uploads/2022/05/116_avr22.pdf

  • Belloir, N., Ouerdane, W., Pastor, O., Frugier, É., de Barmon, LA. (2022). A Conceptual Characterization of Fake News: A Positioning Paper. In: Guizzardi, R., Ralyté, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446.pp 662–669. Springer, Cham. (RCIS 2022 Best Forum Paper / Poster Award)

  • Alexandru-Liviu Olteanu, Khaled Belahcène, Vincent Mousseau, Wassila Ouerdane, Antoine Rolland, Jun Zheng: Preference elicitation for a ranking method based on multiple reference profiles. 4OR 20(1): 63-84 (2022)

  • Ali Tlili, Khaled Belahcène, Oumaima Khaled, Vincent Mousseau, Wassila Ouerdane: Learning non-compensatory sorting models using efficient SAT/MaxSAT formulations. Eur. J. Oper. Res. 298(3): 979-1006 (2022)
  • 2021


  • Jean-Philippe Poli, Wassila Ouerdane, et Régis Pierrard. Génération d'explications textuelles en XAI : le cas de l'annotation sémantique. Dans LFA 2021 Rencontres Francophones sur la Logique Floue et ses Applications, October 2021, Paris, France. To Appear.

  • Ismail Baaj, Jean-Philippe Poli, Wassila Ouerdane and Nicolas Maudet. Inférence min-max pour un système à base de règles possibilistes. LFA 2021 Rencontres Francophones sur la Logique Floue et ses Applications, October 2021, Paris, France. To appear.

  • Ismaïl Baaj, Jean-Philippe Poli, Wassila Ouerdane, Nicolas Maudet: Representation of Explanations of Possibilistic Inference Decisions. ECSQARU 2021: 513-527

  • Jean-Philippe Poli, Wassila Ouerdane and Régis Pierrard, "Generation of Textual Explanations in XAI: the Case of Semantic Annotation," 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, pp. 1-6, doi: 10.1109/FUZZ45933.2021.9494589.

  • Ismail Baaj, Jean-Philippe Poli, Wassila Ouerdane and Nicolas Maudet, "Min-max inference for Possibilistic Rule-Based System," 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, pp. 1-6, doi: 10.1109/FUZZ45933.2021.9494506.

  • 2020

  • Manuel Amoussou, Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau and Wassila Ouerdane. Explaining Robust Additive Decision Models: Generation of Mixed Preference-Swaps by Using MILP. DA2PL, 5-6 November, 2020. University of Trento, Trento - Italy.

  • Pegdwendé Minoungou, Vincent Mousseau, Wassila Ouerdane and Paolo Scotton. Learning an MR-Sort model from data with latent criteria preference direction. DA2PL, 5-6 November, 2020. University of Trento, Trento - Italy.
  • 2019

  • Ismaïl Baaj, Jean-Philippe Poli and Wassila Ouerdane. Some Insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence (XAI). In the 1st Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI). 2019. (PDF)

  • Khaled Belahcene, Nicolas Maudet, Christophe Labreuche, Vincent Mousseau, and Wassila Ouerdane. Comparing Options with argument schemes powered by cancellation. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI2019), 1537-1543. 2019.

  • Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot and Olivier Sobrie. Ranking with Multiple Points: Efficient Elicitation and Learning Procedures. In the 25th International Conference on Multiple Criteria Decision-Making (MCDM), Istanbul, Turkie, 2019.

  • Khaled Belahcene, Yann Chevaleyre, Nicolas Maudet, Christophe Labreuche, Vincent Mousseau, and Wassila Ouerdane. Accountable Approval Sorting. 20ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF'2019). Havre, France.

  • Khaled Belahcene, Oumaima Khaled, Vincent Mousseau, Wassila Ouerdane and Ali Tlili. A new efficient SAT formulation for learning NCS models: numerical results.20ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF'2019). Havre, France.
  • 2018

  • Anthony Hunter, Nicolas Maudet, Francesca Toni, Wassila Ouerdane. Foreword to the Special Issue on supporting and explaining decision processes by means of argumentation. EURO journal on decision processes, Volume 6, Issue 3–4, pp 235–236, 2018.

  • Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. An efficient SAT formulation for learning multiple criteria non-compensatory sorting rules from examples. Computers and Operations Research, Elsevier, 2018, 97, pp.58-71.

  • Valentina Ferretti, Liu Jinyan, Vincent Mousseau, Wassila Ouerdane. Reference-based ranking procedure for environmental decision making: Insights from an ex-post analysis. Environmental Modelling and Software, Elsevier, 2018, 99, pp.11-24.

  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau and Wassila Ouerdane. Challenges in Interactive Explanation and Recommendation for Decision Support. In The international Workshop on Dialogue, Explanation and Argumentation in Human-Agent Interaction (DEXAHAI) Southampton UK. 2018. [PDF version] (https://sites.google.com/view/dexahai-18/home).

  • Khaled Belahcène, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot and Olivier Sobrie. Ranking with Multiple Points: Efficient Elicitation and Learning Procedures. In the 4th workshop from multiple criteria Decision aid to Preference Learning (DA2PL), 2018. Poznan, Pologne.

  • Khaled Belahcene, Oumaima Khaled, Vincent Mousseau, Wassila Ouerdane and Ali Tlili. A new efficient SAT formulation for learning NCS models: numerical results. In the 4th workshop from multiple criteria Decision aid to Preference Learning (DA2PL), 2018. Poznan, Pologne.

  • Khaled Belahcene, Yann Chevaleyre, Nicolas Maudet, Christophe Labreuche, Vincent Mousseau, and Wassila Ouerdane. Accountable Approval Sorting. 27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Jul 2018, Stockholm, Sweden. pp 70-76, 2018.
  • 2017

  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Explaining robust additive utility models by sequences of preference swaps. Theory and Decision, Springer Verlag, 2017, 82 (2), pp.151-183.

  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau and Was- sila Ouerdane. A Model for Accountable Ordinal Sorting. 26th International Joint Conference on Artificial Intelligence (IJCAI-2017), Melbourne, Australia. pp 814-820, 2017

  • Mathieu Dernis, Wassila Ouerdane, Ludovic-Alexandre Vidal, Pascal Da Costa, Franck Marle. Assessment of Sustainable Strategies based on DMM Approach and Value Creation. 19th Dependency and Structure Modelling Conference (DSM), Sep 2017, Helsinki, Finland. Understand, Innovate, and Manage your Complex System!

  • Massinissa Mammeri, Franck Marle, Wassila Ouerdane. An assistance to identification and estimation of contractual strategy alternatives in oil and gas upstream development projects. 19th Dependency and Structure Modelling Conference (DSM), Sep 2017, Helsinki, Finland. 2017, Understand, Innovate, and Manage your Complex System.

  • Karim El Mernissi, Pierre Feillet, Nicolas Maudet, Wassila Ouerdane. Introducing Causality in Business Rule-Based Decisions. IEA/AIE 2017 - 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. Springer, Advances in Artificial Intelligence: From Theory to Practice: pp.433-439, Lecture Notes in Computer Science.

  • Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Une formulation SAT pour l'apprentissage de modèles de classement multicritères noncompensatoires. 11e Journées d'Intelligence Artificielle Fondamentale, Jul 2017, Caen, France.

  • Mathieu Dernis, Ludovic-Alexandre Vidal, Franck Marle, Wassila Ouerdane, Pascal Da Costa. Aide à la sélection de stratégies pour apporter des valeurs durables à des pays hôtes en contexte pétrolier. Congrès International de Génie Industriel CIGI, May 2017, Compiègne, France. 2017.
  • 2016

  • Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau and Wassila ouerdane. Accountable classifications without frontiers. In the 3rd workshop, euro mini group, from multiple criteria Decision aid to Preference Learning (DA2PL), 2016, Paderborn, Germany.
  • 2015

  • Manel Mammar, Vincent Mousseau, Wassila Ouerdane, Alexandre Aubry. Internet Prospect's flow forecasting for a multi-period optimization model of offer/Demand assignment problem. International Conference on computers and Industrial Engineering (CIE45), Oct 2015, Metz, France

  • Christophe Labreuche, Nicolas Maudet, Wassila Ouerdane, Simon Parsons. A dialogue game for recommendation with adaptive preference models. International Conference on Autonomous A gents and Multiagent systems, May 2015, Istanbul, Turkey. pp.959-967.
  • 2014

  • Liu Jinyan, Wassila Ouerdane, Vincent Mousseau. A Methaheuristic approach for preference Learning in multi criteria ranking based on reference points. In the 2nd workshop from multiple criteria Decision aid to Preference Learning (DA2PL), Nov 2014, Chatenay Malabry, France
  • 2013

  • Liu Jinyan, Vincent Mousseau, Wassila Ouerdane. Preference Elicitation from Inconsistent Pairwise Comparisons for Multi-criteria Ranking with Multiple Reference Points. In proceedings of the 14th International Conference on informatics and Semiotics in Organisations. Web of thingd, People and Information Systems. ICISO 2013, Stockholm, Sweden.
  • 2012

  • Christophe Labreuche, Nicolas Maudet, Wassila Ouerdane. Justifying Dominating Options when Preferential Information is Incomplete. 20th European Conference on Artificial Intelligence (ECAI'12), Aug 2012, Montpellier, France. IOS Press, 242, pp.486-491, Frontiers in Artificial Intelligence and Applications.

  • Myriam Merad, Wassila Ouerdane, Nicolas Dechy. Expertise and decision-aiding in safety and environment domains: what are the risks?. BERENGUER, C.; GRALL, A. ; GUEDES SOARES, C. ESREL Annual Conference 2011, Sep 2011, Troyes, France. CRC Press. London, pp.2317-2323, 2012.
  • 2011

  • Wassila Ouerdane, Yannis Dimopoulos, Konstantinos Liapis, Pavlos Moraitis. Towards automating Decision Aiding through Argumentation. Journal of Multicriteria Decision Analysis, 2011.

  • Wassila Ouerdane. Multiple Criteria Decision Aiding: a Dialectical Perspective. 4OR: A Quarterly Journal of Operations Research, Springer Verlag, 2011, 9 (4).

  • Christophe Labreuche, Nicolas Maudet and Wassila Ouerdane. Minimal and Complete Explanations for Critical Multi-attribute Decisions. Ronen I. Brafman, Fred S. Roberts, Alexis Tsoukiàs. Proceedings of the 2nd International Conference on Algorithmic Decision Theory (ADT'2011), Oct 2011, Piscataway New Jersey, United States. Springer, pp.121-134, Lecture Notes in Computer Science.
  • 2010

  • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukiàs. Dealing with the dynamics of proof-standard in argumentation-based decision aiding. Proceedings of the Fifth European Starting AI Researcher Symposium (STAIRS'10). co-located with ECAI 2010, Aug 2010, Lisbon, Portugal. IOS Press, pp.225-237.

  • Wassila Ouerdane, Nicolas Maudet and Alexis Tsoukiàs. Dealing with the dynamics of proof-standard in argumentation-based decision aiding. Proceedings of 19th European Conference on Artificial Intelligence (ECAI'10). Pages 999-1000, Frontiers in Artificial Intelligence and Applications, IOS Press. Lisbon, Portugal, 2010.

  • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukias. Argumentation Theory and Decision Aiding. J. Figueira, S. Greco, and M. Ehrgott. Trends in Multiple Criteria Decision Analysis, 142 (1), pp.177-208, 2010, International Series in Operations Research and Management Science.
  • 2009

  • Wassila Ouerdane. Multiple Criteria Decision Aiding : a Dialectical Perspective. PhD Thesis Université Paris Dauphine - Paris IX, 2009. English
  • 2008

  • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukiàs. Argument Schemes and Critical Questions for Decision Aiding Process. Proceedings of the 2nd international conference on Computational Models of Argument (COMMA2008), May 2008, Toulouse, France.
  • 2007

  • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukias. Arguing over actions that involve multiple criteria: A critical review. In Proc. of the 9th European Conf. on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2007, Oct 2007, Hammamet, Tunisia. pp.308--319.