1998-2026 Publications

• 2026
  • Ch. Artigues, N. Brauner, P. Fouilhoux, N. Absi, A. Nur Arslan, O. Bellenguez, F. Bendali, Th. Benoist, C. Bentz, T. Berthold, M. Besançon, J.‑Ch. Billaut, P. Bonami, E. Bourreau, S. Buchet, S. Cafieri, F. Clautiaux, C. D’ambrosio, S. Dauzère‑Pérès, S. De Givry, C. Doerr, B. Escoffier, D. Feillet, R. Figueiredo, X. Gandibleux, B. Gaujal, J.‑Ph. Gayon, C. Gicquel, A. Goëffon, R. Grappe, C. Grelier, E. Hébrard, E. Hyon, G. Katsirelos, S. Kedad‑Sidhoum, Ph. Lacomme, J.‑M. Lagniez, A. Lambert, S. Lannez, V. Leclere, Ch. Lecoutre, B. Legat, S. Leyffer, A. Liefooghe, I. Ljubic, G. Lucarelli, F. Messine, F. Meunier, S. Moretti, V. Mousseau, A. Munier‑Kordon, J.‑M. Nicod, F. Pacaud, A. Parmentier, F. Pascual, P. Perny, L. Perron, Ch. Picouleau, D. Olivier Fernandez Pons, M. Poss, G. Poveda, Ch. Prud’homme, F. Roupin, Th. Schiex, M. Sevaux, D. Trystram, A. Tsoukiàs, Ch. Vanaret : “Rapport de Prospective du GDR Recherche Opérationnelle et Décision (ROD)”, 76 p. pages (2026)
  • N. Benabbou, L. Moulin‑Roussel, V. Nguyen, P. Perny : “Algorithmes d’approximation par arrondi itératif pour des problèmes de couverture équitable”, 27^e Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Tours, France (2026)
  • N. Benabbou, L. Moulin‑Roussel, V. Nguyen, P. Perny : “An Iterated Rounding Algorithm for OWA Optimization in some Fair Covering Problems”, 9^th International conference on Algorithmic Decision Theory, Paris, France (2026)
• 2025
  • M. Herin, P. Perny, N. Sokolovska : “Learning additive decompositions of multiattribute utility functions”, Theory and Decision, vol. 99, pp. 173-206, (Springer Verlag) (2025)
• 2024
  • M. Herin, P. Perny, N. Sokolovska : “Learning preference representations based on Choquet integrals for multicriteria decision making”, Annals of Mathematics and Artificial Intelligence, vol. 92 (6), pp. 1511-1544, (Springer Verlag) (2024)
  • M. Herin, P. Perny, N. Sokolovska : “Noise-Tolerant Active Preference Learning for Multicriteria Choice Problems”, Algorithmic Decision Theory, vol. 15248, Lecture Notes in Computer Science (LNAI), New Brunswick, NJ, United States, pp. 191-206, (Springer Nature Switzerland), (ISBN: 978-3-031-73903-3) (2024)
  • M. Herin, P. Perny, N. Sokolovska : “Online Learning of Capacity-Based Preference Models”, Proceedings of the Thirty-third International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, Korea, Republic of (2024)
  • M. Herin, P. Perny, N. Sokolovska : “Learning GAI-decomposable Utility Models for Multiattribute Decision Making”, Proc. 38^th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada (2024)
• 2023
  • M. Herin, P. Perny, N. Sokolovska : “Learning Preference Models with Sparse Interactions of Criteria”, IJCAI 2023 - The 32^nd International Joint Conference On Artificial Intelligence, Macao, China (2023)
• 2022
  • M. Herin, P. Perny, N. Sokolovska : “A Dual Approach for Learning Sparse Representations of Choquet Integrals”, DA2PL From Multiple-Criteria Decision Aid to Preference Learning, Compiègne, France (2022)
  • R. Botreau, I. Veissier, P. Perny : “Evaluation of animal welfare at farm level: a combination of different methods”, (2022)
  • M. Herin, P. Perny, N. Sokolovska : “Learning Sparse Representations of Preferences within Choquet Expected Utility Theory”, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, vol. 180, Proceedings of Machine Learning Research, Eindhoven, Netherlands, pp. 800-810, (PMLR) (2022)
  • M. Herin, P. Perny, N. Sokolovska : “Learning Utilities and Sparse Representations of Capacities for Multicriteria Decision Making with the Bipolar Choquet Integral”, Multidisciplinary Workshop on Advances in Preference Handling, IJCAI, Vienne, Austria (2022)
• 2021
  • N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Interactive Optimization of Submodular Functions under Matroid Constraints”, ADT 2021 - 7^th International Conference on Algorithmic Decision Theory, vol. 13023, Lecture Notes in Computer Science book series, Toulouse, France, pp. 307-322, (Springer-Verlag), (ISBN: 978-3-030-87755-2) (2021)
  • A. Grivet Sébert, N. Maudet, P. Perny, P. Viappiani : “Preference Aggregation in the Generalised Unavailable Candidate Model”, 7^th International Conference on Algorithmic Decision Theory, vol. 13023, Lecture Notes in Computer Science, Toulouse, France, pp. 35-50, (Springer) (2021)
  • R. Botreau, I. Veissier, P. Perny : “Evaluation of animal welfare at farm level: a combination of different methods”, (2021)
  • A. Grivet Sébert, N. Maudet, P. Perny, P. Viappiani : “Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model”, Proceedings of AAMAS 2021, AAMAS '21: Proceedings of the 20^th International Conference on Autonomous Agents and MultiAgent Systems, Online, United Kingdom, pp. 1518-1520, (ACM) (2021)
  • N. Benabbou, H. Martin, P. Perny : “Min Cost Improvement and Max Gain Stability in Multicriteria Sorting Methods on Combinatorial Domains”, Journal of Multi-Criteria Decision Analysis, (Wiley) (2021)
  • N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Élicitation Incrémentale combinée à la Recherche Locale et Recherche Gloutonne pour l’Optimisation de Matroïdes Pondérés”, 22^e congrès annuel de la société française de recherche opérationnelle et d'aide à la décision, Mulhouse (en ligne), France (2021)
  • N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization”, Proceedings of the 35^th AAAI Conference on Artificial Intelligence (AAAI'21), Virtual, France (2021)
• 2020
  • N. Bourdache, P. Perny, O. Spanjaard : “Bayesian preference elicitation for multiobjective combinatorial optimization”, DA2PL 2020 - From Multiple Criteria Decision Aid to Preference Learning, Trento, Italy (2020)
  • R. Botreau, I. Veissier, P. Perny : “Evaluation of animal welfare at farm level: a combination of different methods”, (2020)
  • H. Martin, P. Perny : “New Computational Models for the Choquet Integral”, 24^th European Conference on Artificial Intelligence - ECAI 2020, Santiago, Spain (2020)
  • Ch. Gonzales, P. Perny : “Decision Under Uncertainty”, chapter in A Guided Tour of Artificial Intelligence Research, vol. I, Knowledge Representation, Reasoning and Learning, pp. 549-586, (Springer) (2020)
  • S. Kaci, J. Lang, P. Perny : “Compact Representations of Preferences”, chapter in A Guided Tour of Artificial Intelligence Research, vol. Volume I, Knowledge Representation, Reasoning and Learning, pp. 217-252, (Springer), (ISBN: 978-3-030-06164-7) (2020)
  • Ch. Gonzales, P. Perny : “Multicriteria Decision Making”, chapter in A Guided Tour of Artificial Intelligence Research, vol. I, Knowledge Representation, Reasoning and Learning, pp. 519-548, (Springer), (ISBN: 978-3-030-06164-7) (2020)
  • N. Bourdache, P. Perny, O. Spanjaard : “Élicitation incrémentale de préférences par mise à jour Bayésienne sur des zones d’optimalité”, ROADEF 2020 - 21^e congrès annuel de la société Française de Recherche Opérationnelle et d'Aide à la Décision, Montpellier, France (2020)
  • F. Fossati, S. Moretti, P. Perny, S. Secci : “Multi-Resource Allocation for Network Slicing”, IEEE/ACM Transactions on Networking, vol. 28 (3), pp. 1311-1324, (IEEE/ACM) (2020)
• 2019
  • H. Martin, P. Perny : “Computational Models for Cumulative Prospect Theory: Application to the Knapsack Problem Under Risk”, International Conference on Scalable Uncertainty Management, vol. 11940, Lecture Notes in Computer Science, Compiègne, France, pp. 52-65, (Springer) (2019)
  • N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Combining Local Search and Elicitation for Multi-Objective Combinatorial Optimization”, ADT 2019 - 6^th International Conference on Algorithmic Decision Theory, Durham, NC, United States (2019)
  • R. Botreau, I. Veissier, P. Perny : “Evaluation of animal welfare at farm level: a combination of different methods”, (2019)
  • N. Bourdache, P. Perny, O. Spanjaard : “Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression”, Proceedings of IJCAI 2019, Macao, China, pp. 2023-2029, (International Joint Conferences on Artificial Intelligence Organization) (2019)
  • H. Martin, P. Perny : “BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial Domains”, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China, pp. 1822-1828, (International Joint Conferences on Artificial Intelligence Organization) (2019)
  • N. Bourdache, P. Perny : “Algorithmes d’élicitation incrémentale des préférences pour la résolution de problèmes de sac-à-dos multi-agents équitables”, ROADEF, Le Havre, France (2019)
  • N. Bourdache, P. Perny : “Active Preference Learning based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem”, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, United States (2019)
  • N. Bourdache, P. Perny, O. Spanjaard : “Active Preference Elicitation by Bayesian Updating on Optimality Polyhedra”, SUM 2019 - 13^th international conference on Scalable Uncertainty Management, vol. 11940, Lecture Notes in Computer Science, Compiègne, France, pp. 93-106, (Springer) (2019)
• 2018
  • N. Bourdache, P. Perny, O. Spanjaard : “Adaptive Elicitation of Rank-Dependent Aggregation Models based on Bayesian Linear Regression”, DA2PL'2018, Poznan, Poland (2018)
  • N. Benabbou, P. Perny : “Interactive resolution of multiobjective combinatorial optimization problems by incremental elicitation of criteria weights”, EURO journal on decision processes, (Springer) (2018)
  • J. Lesca, M. Minoux, P. Perny : “The Fair OWA One-to-one Assignment Problem: NP-hardness and Polynomial Time Special Cases.”, Algorithmica, (Springer Verlag) (2018)
• 2017
  • N. Bourdache, P. Perny : “Anytime Algorithms for Adaptive Robust Optimization with OWA and WOWA”, 5^th International Conference on Algorithmic Decision Theory (ADT 2017), vol. 10576, Lecture Notes in Computer Science, Luxembourg, Luxembourg, pp. 93-107, (Springer) (2017)
  • N. Benabbou, P. Perny : “Adaptive Elicitation of Preferences under Uncertainty in Sequential Decision Making Problems”, Proceedings of IJCAI'17, Melbourne, Australia (2017)
  • H. Gilbert, N. Benabbou, P. Perny, O. Spanjaard, P. Viappiani : “Incremental Decision Making Under Risk with the Weighted Expected Utility Model”, Proceedings of the 26^th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia (2017)
  • J. Lesca, P. Perny, M. Yokoo : “Coalition Structure Generation and CS-core: Results on the Tractability Frontier for games represented by MC-nets”, proceedings of the AAMAS'17 conference, Sao-Paulo, Brazil (2017)
  • N. Benabbou, P. Perny, P. Viappiani : “Incremental elicitation of choquet capacities for multicriteria choice, ranking and sorting problems”, Artificial Intelligence (AIJ), vol. 246, pp. 152-180, (Elsevier) (2017)
• 2016
  • N. Benabbou, P. Perny, P. Viappiani : “A regret-based preference elicitation approach for sorting with multicriteria reference profiles”, From Multicriteria Decision Making to Preference Learning (DA2PL'16), Paderborn, Germany (2016)
  • N. Benabbou, P. Perny : “Solving Multi-agent Knapsack Problems Using Incremental Approval Voting”, European Conference on Artificial Intelligence, La Haye, Netherlands (2016)
  • S. Drissi Oudghiri, P. Perny, O. Spanjaard, M. Hachimi : “Using the Sugeno Integral in Optimal Assignment Problems with Qualitative Utilities”, ECAI 2016 proceedings, The Hague, Netherlands (2016)
  • A. Ismaili, P. Perny : “Computational Social Choice for Coordination in Agent Networks”, Annals of Mathematics and Artificial Intelligence, vol. 77 (3), pp. 335-359, (Springer Verlag) (2016)
  • P. Perny, P. Viappiani, A. Boukhatem : “Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model”, Uncertainty in Artificial Intelligence, New York, United States (2016)
  • N. Benabbou, P. Perny : “Incremental Approval Voting for Multi-agent Knapsack Problems”, International Workshop on Computational Social Choice (COMSOC'16), Toulouse, France (2016)
  • D. Dubois, P. Perny : “A Review of Fuzzy Sets in Decision Sciences: Achievements, Limitations and Perspectives”, chapter in Multiple Criteria Decision Analysis, pp. 637-691 (2016)
  • N. Benabbou, P. Perny, P. Viappiani : “Tri multicritère intéractif basé sur le concept de regret : approches avec seuils de préférences ou profils de référence”, 17^e congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2016), Compiègne, France (2016)
  • N. Benabbou, S. Di Sabatino Di Diodoro, P. Perny, P. Viappiani : “Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count”, The tenth International Conference on Scalable Uncertainty Management, vol. 9858, Lecture Notes in Computer Science, Nice, France, pp. 81-95, (Springer) (2016)
• 2015
  • N. Benabbou, P. Perny : “On Possibly Optimal Tradeoffs in Multicriteria Spanning Tree Problems”, Proceedings of the 4^th International Conference on Algorithmic Decision Theory (ADT'15), vol. 9346, Lecture Notes in Computer Science, Lexington, KY, United States, pp. 322-337, (Springer International Publishing) (2015)
  • N. Benabbou, P. Perny : “Combining Preference Elicitation and Search in Multiobjective State-Space Graphs”, Proceedings of the 24^th International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, pp. 297-303 (2015)
  • N. Benabbou, Ch. Gonzales, P. Perny, P. Viappiani : “Minimax Regret Approaches for Preference Elicitation with Rank-Dependent Aggregators”, EURO Journal on Decision Processes, vol. 3 (1-2), pp. 29-64 (2015)
  • N. Benabbou, P. Perny : “Optimalité potentielle et élicitation de poids dans les problèmes d’arbres couvrants multi-objectifs”, 16^e conférence ROADEF Société Française de Recherche Opérationnelle et Aide à la Décision, Marseille, France (2015)
  • N. Benabbou, P. Perny : “Incremental Weight Elicitation for Multiobjective State Space Search”, Proceedings of the 29^th AAAI Conference on Artificial Intelligence (AAAI'15), Austin, Texas, United States, pp. 1093-1099 (2015)
• 2014
  • N. Benabbou, P. Perny, P. Viappiani : “Incremental Elicitation of Choquet Capacities for Multicriteria Decision Making”, Proceedings of the 21^st European Conference on Artificial Intelligence (ECAI'14), vol. 263, Frontiers in Artificial Intelligence and Applications, Prague, Czechia, pp. 87-92 (2014)
  • A. Ismaili, E. Bampis, N. Maudet, P. Perny : “How the Number of Strategies Impacts the Likelihood of Equilibria in Random Graphical Games”, 13^th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014, Paris, France, pp. 285-292 (2014)
  • N. Benabbou, P. Perny, P. Viappiani : “Apprentissage des paramètres d’une intégrale de Choquet par regret minimax”, ROADEF - 15^e congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision, Bordeaux, France (2014)
  • J. Goldsmith, J. Lang, N. Mattei, P. Perny : “Voting with Rank Dependent Scoring Rules”, AAAI'14 Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, Québec, Canada, pp. 698-704 (2014)
• 2013
  • W. Ogryczak, P. Perny, P. Weng : “A Compromise Programming Approach to Multiobjective Markov Decision Processes”, International Journal of Information Technology and Decision Making, vol. 12 (5), pp. 1021-1053, (World Scientific Publishing) (2013)
  • P. Perny, P. Weng, J. Goldsmith, J. Hanna : “Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes”, Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, Washington, United States, pp. id 208 (2013)
  • P. Viappiani, P. Perny, Ch. Gonzales : “Elicitation of Non-linear Utility Models”, European Conference on Operations Research, Preference Learning stream, Rome, Italy (2013)
  • A. Ismaili, E. Bampis, N. Maudet, P. Perny : “A study on the stability and efficiency of graphical games with unbounded treewidth”, Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems, Saint Paul, MN, United States, pp. 263-270 (2013)
  • J. Lesca, M. Minoux, P. Perny : “Compact versus Noncompact LP Formulations for minimizing Convex Choquet Integrals”, Discrete Applied Mathematics, vol. 161 (1-2), pp. 184-199, (Elsevier) (2013)
  • L. Galand, J. Lesca, P. Perny : “Dominance Rules for the Choquet Integral in Multiobjective Dynamic Programming”, Proceedings of the 23^rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, pp. 538-544 (2013)
  • L. Galand, A. Ismaili, P. Perny, O. Spanjaard : “Bidirectional Preference-based Search for Multiobjective State Space Graph Problems”, Proceedings of the 6^th Annual Symposium on Combinatorial Search (SoCS 2013), Leavenworth, Washington, United States, pp. 80-88 (2013)
  • L. Galand, A. Ismaili, P. Perny, O. Spanjaard : “Bidirectional versus Unidirectional Heuristic Search for Multiojective Optimization in State Space Graphs”, 22^nd International Conference on Multiple Criteria Decision Making (MCDM 2013), Malaga, Spain (2013)
  • P. Perny, M. Pirlot, A. Tsoukiàs : “Algorithmic Decision Theory Third International Conference, ADT 2013, Bruxelles, Belgium, November 13-15, 2013, Proceedings”, vol. 8176, Lecture Notes in Artificial Intelligence, (Springer) (2013)
• 2012
  • W. Ogryczak, P. Perny, P. Weng : “On WOWA Rank Reversal”, International Conference on Modelling Decisions for Artificial Intelligence, vol. 7647, Lecture Notes in Computer Science, Girona, Catalonia, Spain, pp. 66-77, (Springer) (2012)
  • J. Lesca, P. Perny : “Almost-truthful Mechanisms for Fair Social Choice Functions”, ECAI 2012, vol. 242, Frontiers in Artificial Intelligence and Applications, Montpellier, France, pp. 522-527, (IOS Press) (2012)
  • G. Jeantet, P. Perny, O. Spanjaard : “Sequential Decision Making with Rank Dependent Utility: a Minimax Regret Approach”, 26^th AAAI Conference on Artificial Intelligence, Toronto, Canada, pp. 1931-1937 (2012)
• 2011
  • W. Ogryczak, P. Perny, P. Weng : “On Minimizing Ordered Weighted Regrets in Multiobjective Markov Decision Processes”, 2^nd International Conference on Algorithmic Decision Theory (ADT'11), vol. 6992, Lecture Notes in Computer Science, Piscataway, NJ, United States, pp. 190-204, (Springer) (2011)
  • W. Ogryczak, P. Perny, P. Weng : “A Compromise Programming Approach to Multiobjective Markov Decision Processes”, International Conference on Multicriteria Decision Making, Jyvaskyla, Finland, pp. 167-167 (2011)
  • L. Galand, J. Lesca, P. Perny : “Multiobjective dynamic programming versus linear programming for compromise search with Choquet integral”, International Conference on Multiple Criteria Decision Making, Jyvaskyla, Finland, pp. 175-175 (2011)
  • Ch. Gonzales, P. Perny, J.‑Ph. Dubus : “Decision Making with Multiple Objectives using GAI networks”, Artificial Intelligence (AIJ), vol. 175 (7-8), pp. 1153-1179, (Elsevier) (2011)
• 2010
  • J. Lesca, P. Perny : “LP Solvable Models for Multiagent Fair Allocation problems”, European Conference on Artificial Intelligence, vol. 215, Frontiers in Artificial Intelligence and Applications, Lisbon, Portugal, pp. 393-398, (IOS Press) (2010)
  • P. Perny, P. Weng : “On finding compromise solutions in multiobjective Markov decision processes”, European Conference on Artificial Intelligence Multidisciplinary Workshop on Advances in Preference Handling, Lisbon, Portugal, pp. 969-970, (IOS Press) (2010)
  • L. Galand, P. Perny, O. Spanjaard : “Choquet-based optimisation in multiobjective shortest path and spanning tree problems”, European Journal of Operational Research, vol. 204 (2), pp. 303-315, (Elsevier) (2010)
  • B. Golden, P. Perny : “Infinite order Lorenz dominance for fair multiagent optimization”, International Conference on Autonomous Agents and Multiagent Systems, Toronto, Canada, pp. 383-390, (ACM) (2010)
• 2009
  • J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Choquet Optimization using {GAI} Networks for Multiagent/Multicriteria Decision-Making”, Algorithmic Decision Theory, vol. 5783, Lecture Notes in Computer Science, Venice, Italy, pp. 377-389, (Springer) (2009)
  • J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Fast Recommendations using {GAI} Models”, IJCAI'09, International Joint Conference on Artificial Intelligence, Pasadena, California, United States, pp. 1896-1901 (2009)
  • J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Multiobjective Optimization using {GAI} Models”, IJCAI'09 International Joint Conference on Artificial Intelligence, Pasadena, California, United States, pp. 1902-1907 (2009)
  • J.‑Ph. Dubus, Ch. Gonzales, P. Perny : “Choix multiattribut à l’aide de réseaux {GAI} de forte densité”, 10^e Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2009), Nancy, France, pp. 25-39 (2009)
  • D. Bouyssou, Th. Marchant, P. Perny : “Social Choice Theory and Multicriteria decision aiding”, chapter in Decision-making Process Concepts and Methods, pp. 779-810, (ISTE), (ISBN: 978-1-84821-116-2) (2009)
• 2008
  • P. Perny, O. Spanjaard : “Near Admissible Algorithms for Multiobjective Search”, 18^th European Conference on Artificial Intelligence ECAI-08, vol. 178, Frontiers in Artificial Intelligence and Applications, Patras, Greece, pp. 490-494, (IOS Press) (2008)
  • Ch. Gonzales, P. Perny, S. Queiroz : “Preference Aggregation with Graphical Utility Models”, Proceedings of the 23^rd AAAI conference on Artificial Intelligence, Chicago, Illinois, United States, pp. 1037-1042 (2008)
  • L. Galand, P. Perny, O. Spanjaard : “A branch and bound algorithm for Choquet optimization in multicriteria problems”, Proceedings of the 19^th International Conference on Multiple Criteria Decision Making, vol. 634, Lecture Notes in Economics and Mathematical Systems, Auckland, New Zealand, pp. 355-365, (Springer) (2008)
  • L. Galand, P. Perny, O. Spanjaard : “Optimization of the Choquet integral in multicriteria combinatorial problems”, 19^th International Conference on Multiple Criteria Decision Making, Auckland, New Zealand (2008)
  • R. Botreau, J. Capdeville, P. Perny, I. Veissier : “Multicriteria evaluation of animal welfare at farm level: an application of MCDA methodologies”, Foundations of Computing and Decision Sciences, vol. 33 (4), pp. 287-316 (2008)
  • Ch. Gonzales, P. Perny, S. Queiroz : “{GAI}-Networks: Optimization, Ranking and Collective Choice in Combinatorial Domains”, Foundations of Computing and Decision Sciences, vol. 33 (1), pp. 3-24 (2008)
• 2007
  • R. Botreau, M. Bonde, A. Butterworth, P. Perny, M. Bracke, J. Capdeville, I. Veissier : “Aggregation of measures to produce an overall assessment of animal welfare. Part 1 : a review of existing methods”, Animal, vol. 1 (8), pp. 1179-1187, (Published by Elsevier (since 2021) / Cambridge University Press (until 2020)) (2007)
  • R. Botreau, M. B. M. Bracke, P. Perny, A. Butterworth, J. Capdeville, C. G. Van Reenen, I. Veissier : “Aggregation of measures to produce an overall assessment of animal welfare. Part 2 : analysis of constraints”, Animal, vol. 1 (8), pp. 1188-1197, (Published by Elsevier (since 2021) / Cambridge University Press (until 2020)) (2007)
  • L. Galand, P. Perny : “Search for Choquet-optimal paths under uncertainty”, Proceedings of the 23^rd conference on Uncertainty in Artificial Intelligence, Vancouver, Canada, pp. 125-132, (AUAI Press) (2007)
  • Ch. Gonzales, P. Perny, S. Queiroz : “Collective decision making in combinatorial domains using {GAI}-networks”, Proceedings of the 65^th Meeting of the European Working Group ``Multiple Criteria Decision Aiding'', Poznan, Poland, pp. 5-5 (2007)
  • D. Dubois, H. Fargier, P. Perny : “Corrigendum to "Qualitative decision theory with preference relations and comparative uncertaitny: an axiomatic approach"”, Artificial Intelligence (AIJ), vol. 171 (5), pp. 361-362, (Elsevier) (2007)
  • S. Queiroz, Ch. Gonzales, P. Perny : “Décision collective avec des réseaux {GAI}”, 8^e Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2007), Grenoble, France, pp. 217-227, (Presses Universitaires de Grenoble) (2007)
  • P. Perny, O. Spanjaard, L.‑X. Storme : “State Space Search for Risk-averse Agents”, Twentieth International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 2353-2358 (2007)
  • Ch. Gonzales, P. Perny, S. Queiroz : “Réseaux {GAI} pour la prise de décision”, Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, vol. 21 (4), pp. 555-587, (Lavoisier) (2007)
• 2006
  • Ch. Gonzales, P. Perny, S. Queiroz : “Preference aggregation in combinatorial domains using GAI-nets”, DIMACS - LAMSADE Workshop on Voting Theory And Preference Modelling, vol. 6, ANNALES DU LAMSADE, Paris, France, pp. 165-179 (2006)
  • P. Perny, O. Spanjaard, L.‑X. Storme : “A decision-theoretic approach to robust optimization in multivalued graphs”, Annals of Operations Research, vol. 147 (1), pp. 317-341, (Springer Verlag) (2006)
  • Ch. Gonzales, P. Perny : “GAI networks: from axiomatization to applications”, 37^th European Mathematical Psychology Group meeting, Brest, France (2006)
  • P. Perny, A. Rolland : “Reference-dependent Qualtitative Models for Decision Making under Uncertainty”, European Conference on Artificial Intelligence, vol. 141, Frontiers in Artificial Intelligence and Applications, Riva del Garda, Italy, pp. 422-426, (IOS Press) (2006)
  • L. Galand, P. Perny : “Search for Compromise Solutions in Multiobjective State Space Graphs”, 17^th European Conference on Artificial Intelligence, vol. 141, Frontiers in Artificial Intelligence and Applications, Riva del Garda, Italy, pp. 93-97, (IOS Press) (2006)
  • P. Perny : “Beyond Pareto Optimality in Multiobjective Combinatorial Optimization: problems and algorithms”, International Conference in Multi-Objective Programming and Goal Programming, Tours, France (2006)
  • F. Sourd, O. Spanjaard, P. Perny : “Multi-objective branch and bound. Application to the bi-objective spanning tree problem”, 7^th International Conference in Multi-Objective Programming and Goal Programming, Tours, France (2006)
  • R. Botreau, J. Capdeville, P. Perny, I. Veissier, M. Bonde, M. Bracke, K. Van Reenen, A. Butterworth, L. Keeling : “Les difficultés d’une évaluation globale du bien-être animal”, 13^es Rencontres autour des Recherches sur les Ruminants, vol. 13, Rencontres autour des Recherches sur les Ruminants, Paris, France, (Institut de l'Elevage), (ISBN: 2-84148-250-2) (2006)
  • R. Botreau, I. Veissier, J. Capdeville, M. Bracke, A. Butterworth, L. Keeling, M. Bonde, T. Rousing, G. De Rosa, K. Van Reenen, P. Perny : “Multicriteria assessment of the quality of farm animals’ life”, UFAW/BVA Ethics Committee International Symposium. Quality of Life: the heart of the matter, Londres, United Kingdom, pp. 1 p. (2006)
  • D. Bouyssou, Th. Marchant, P. Perny : “Aide multicritère à la décision et théorie du choix social”, chapitre de Concepts et méthodes pour l'aide à la décision 3: Analyse multicritère, IC2 Series, (Hermès), (ISBN: 2-7462-1291-9) (2006)
  • F. Charpillet, F. Garcia, P. Perny, O. Sigaud : “Décision et planification dans l’incertain”, Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, vol. 20, pp. 432, (Lavoisier) (2006)
• 2005
  • P. Perny, O. Spanjaard, P. Weng : “Algebraic Markov Decision Processes”, 19^th International Joint Conference on Artificial Intelligence, Edinburgh, United Kingdom, pp. 1372-1377 (2005)
  • Ch. Gonzales, P. Perny : “GAI Networks for Decision Making under Certainty”, 19^th International Joint Conference on Artificial Intelligence -- workshop on advances in preference handling, Edinburgh, United Kingdom, pp. 100-105 (2005)
  • P. Perny, O. Spanjaard : “A Preference-Based Approach to Spanning Trees and Shortest Paths Problems”, European Journal of Operational Research, vol. 162 (3), pp. 584-601, (Elsevier) (2005)
  • P. Perny, A. Tsoukiàs : “Decision analysis and artificial intelligence: feature cluster from the XIX Euro Summer Institute”, European Journal of Operational Research, vol. 160 (3), pp. 579-581, (Elsevier) (2005)
• 2004
  • Ch. Gonzales, P. Perny : “Graphical Models for Utility Elicitation under Risk”, DIMACS-LAMSADE workshop on computer science and decision theory, vol. 3, ANNALES DU LAMSADE, Paris, France, pp. 157-178 (2004)
  • Ch. Gonzales, P. Perny : “GAI Networks for Utility Elicitation”, KR 2004 - 9^th International Conference on the Principles of Knowledge Representation and Reasoning, Whistler, British Columbia, Canada, pp. 224-234 (2004)
• 2003
  • P. Perny, O. Spanjaard : “An Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios”, 19^th conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico, pp. 469-476 (2003)
  • D. Dubois, H. Fargier, P. Perny : “Qualitative Decision Theory with preference relations and comparative uncertainty: an axiomatic approach”, Artificial Intelligence (AIJ), vol. 148 (1-2), Special issue: Fuzzy Set and Possibility Theory-Based Methods in Artificial Intelligence, pp. 219-260, (Elsevier) (2003)
  • D. Dubois, H. Fargier, P. Perny, H. Prade : “A characterization of generalized concordance rules in multicriteria decision-making”, International Journal of Intelligent Systems, vol. 18 (7), Special Issue: “Preference Modeling and Applications” Eurofuse 2001, pp. 751-774, (Wiley) (2003)
  • M. Grabisch, P. Perny : “Agrégation multicritère”, chapitre de Logique floue, principes, aide à la décision, Traité IC2, série Informatique et Systèmes d'Information, pp. 81-120, (Hermès-Lavoisier), (ISBN: 2-7462-0543-2) (2003)
• 2002
  • P. Perny, O. Spanjaard : “Modélisation des préférences et Recherche dans les graphes d’états”, 2^e assises nationales du GdR I3, Nancy, France, pp. 161-171, (Cépaduès-éditions) (2002)
  • M. Grabisch, J. Duchêne, F. Lino, P. Perny : “Subjective Evaluation of Discomfort in Sitting Positions”, Fuzzy Optimization and Decision Making, vol. 1 (3), pp. 287-312, (Springer Verlag) (2002)
  • P. Perny, O. Spanjaard : “On preference-based Search in State Space Graphs”, Proceedings of the Eighteenth National Conference on Artificial Intelligence, Edmonton, Canada, pp. 751-756, (AAAI Press) (2002)
  • D. Dubois, H. Fargier, H. Prade, P. Perny : “Qualitative decision theory: from Savage’s axioms to nonmonotonic reasoning”, Journal of the ACM (JACM), vol. 49 (4), pp. 455-495, (Association for Computing Machinery) (2002)
  • D. Dubois, H. Fargier, P. Perny, H. Prade : “On the Limitation of Ordinal Approaches to Decision Making”, 8^th conference on Principles of Knowledge Representation and Reasoning, Toulouse, France, pp. 133-144 (2002)
  • D. Dubois, H. Fargier, P. Perny : “On the limitations of ordinal approaches to decision-making”, KR'02: Proceedings of the Eights International Conference on Principles of Knowledge Representation and Reasoning ; ISBN: 978-1-55860-554-1, Toulouse, France, pp. 133-144, (Morgan Kaufmann Publishers) (2002)
  • D. Bouyssou, E. Jacquet‑Lagrèze, P. Perny, R. Slowinski, D. Vanderpooten, Ph. Vincke : “Aiding Decisions with Multiple Criteria: essays in honour of B. Roy”, (Kluwer Academic Publishers) (2002)
  • A. Tsoukiàs, P. Perny, Ph. Vincke : “From Concordance / Discordance to the Modelling of Positive and Negative Reasons in Decision Aiding”, chapter in Aiding Decision with Multiple Criteria, vol. 44, International Series in Operations Research and Management Science, pp. 147-174, (Kluwer Academic Publishers) (2002)
• 2001
  • P. Perny, J.‑D. Zucker : “Aide collaborative à la décision : le système film-conseil”, 54^th meeting of the EURO working group "Multicriteria Aid for Decisions", Durbuy, Belgium (2001)
  • P. Perny, O. Spanjaard : “Preference-based Approach to Combinatorial Problems”, EURO 2001 - 18^th European Conference on Operational Research, Rotterdam, Netherlands (2001)
  • P. Perny, O. Spanjaard : “Sur la recherche de solutions préférées dans les problèmes combinatoires multicritères”, Francoro III, Québec, Canada (2001)
  • D. Dubois, H. Fargier, P. Perny, H. Prade : “Towards a qualitative multicriteria decision theory”, EUROFUSE Workshop on Preference Modeling and Applications (EUROFUSE 2001), Granada, Spain, pp. 1-8 (2001)
  • X. Juret, P. Perny : “On monotonicity of aggregation procedures based on iterated choices”, EURO working group on MCDA, Athens, Greece (2001)
  • D. Dubois, H. Fargier, P. Perny, H. Prade : “On concordance rules based on non-additive measures: an axiomatic approach”, Abstracts LINZ 2001, Linz, Austria, pp. 44-47, (Johannes Kepler Universität, LINZ) (2001)
  • H. Fargier, P. Perny : “Modélisation des préférences par une règle de concordance généralisée”, chapter in Selected Papers from 49^th and 50^th meetings of the EURO working group on MCDA, pp. 99-116, (Official Publications of the European Communities) (2001)
  • P. Perny, J.‑D. Zucker : “Preference-based Search and Machine Learning for Collaborative Filtering: the "Film-Conseil" Movie Recommender System”, Revue I3 - Information Interaction Intelligence, vol. 1 (1), pp. 1-40, (Cépaduès) (2001)
• 2000
  • P. Perny : “Modélisation des préférences, agrégation multicritère et systèmes d’aide à la décision”, habilitation, phd defence 01/25/2000 (2000)
  • M. Futtersack, P. Perny : “BCA*, une généralisation d’A* pour la recherche de solutions de compromis dans des problèmes de recherche multiobjectifs”, 12^e congrès Reconnaissance des Formes et Intelligence Artificielle, vol. 3, Paris, France, pp. 377-386 (2000)
  • D. Bouyssou, P. Perny, M. Pirlot : “Non-transitive decomposable conjoint measurement as a general framework for MCDM and decision under uncertainty”, 17^th European Conference on Operational Research, Budapest, Hungary (2000)
  • D. Bouyssou, Th. Marchant, P. Perny, M. Pirlot, A. Tsoukiàs, Ph. Vincke : “Evaluation and decision models: a critical perspective”, vol. 32, International Series in Operations Research and Management Science, (Kluwer Academic Publishers), (ISBN: 0-7923-7250-6) (2000)
  • B. De Baets, J. Fodor, P. Perny : “Preferences and Decisions under Incomplete Knowledge”, vol. 51, Studies in Fuzziness and Soft Computing, (Physica Verlag) (2000)
• 1999
  • H. Fargier, P. Perny : “Qualitative decision models under uncertainty without the commensurability hypothesis”, UAI'99 - 15^th conference on Uncertainty in artificial intelligence, Stockholm, Sweden, pp. 188-195, (Morgan Kaufmann Publishers) (1999)
  • H. Fargier, P. Perny : “Qualitative models for decision under uncertainty without the commensurability assumption”, 15^th Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, pp. 188-195, (Morgan Kaufmann Publishers) (1999)
  • P. Perny, J.‑D. Zucker : “Collaborative Filtering Methods based on Fuzzy Preference Relations”, EUROFUSE-SIC'99, Budapest, Hungary, pp. 279-285 (1999)
  • H. Fargier, P. Perny : “Qualitative Models for Decision Making under Uncertainty: an Axiomatic Investigation”, FUR IX - 9^th Foundations of Utility and Risk Conference, Marrakesh, Morocco (1999)
  • H. Fargier, P. Perny : “Une approche axiomatique pour les méthodes de surclassement basées sur une règle de concordance”, 50^es Journées du groupe de travail Européen "Aide multicritere à la décision", Cerisy La Salle, France (1999)
  • P. Perny, J.‑Ch. Pomerol : “Use of Artificial Intelligence in MultiCriteria Decision Making”, chapter in Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications, pp. 15.1-15.43, (Kluwer) (1999)
• 1998
  • P. Perny : “On the structure of Fuzzy Preference Relations derived from the comparison of alternatives under uncertainty”, Eufit'98, Aachen, Germany, pp. 530-534 (1998)
  • P. Perny : “Non-monotonic decision procedures resulting from iterated choices”, EURO XVI, Brussels, Belgium (1998)
  • P. Perny, A. Tsoukiàs : “On the continuous extension of a four valued logic for preference modelling”, 7^th international conference IPMU Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, pp. 302-309 (1998)
  • P. Perny, D. Vanderpooten : “An interactive multiobjective procedure for selecting medum-term countermeasures after nuclear accidents”, Journal of Multi-Criteria Decision Analysis, vol. 7 (1), pp. 48-60, (Wiley) (1998)
  • P. Perny : “Multicriteria filtering methods based on concordance and non-discordance principles”, Annals of Operations Research, vol. 80 (0), pp. 137-165, (Springer Verlag) (1998)
  • P. Journée, P. Perny, D. Vanderpooten : “A multicriteria methodology for the verification of arms control in Europe”, Foundations of Computing and Decision Sciences, vol. 23 (2), pp. 64-85 (1998)
  • D. Bouyssou, P. Perny : “Aide multicritère à la décision et théorie du choix social”, Nouvelles de la science et des technologies (1998)
  • J. Fodor, P. Perny, M. Roubens : “Decision Making and Optimization”, chapter in Handbook of fuzzy computation, (IOP Publishing Ltd) (1998)
  • P. Perny, M. Roubens : “Preference Modelling”, chapter in Handbook of fuzzy sets and possibility theory, operations research and statistics, pp. 3-30, (Kluwer Academic Publishers) (1998)
  • J. Fodor, S. Orlovski, P. Perny, M. Roubens : “The Use of fuzzy Preference Models in Multiple Criteria Choice, Ranking and Sorting”, chapter in Fuzzy Sets in Decision Analysis, Operations Research and Statistics, vol. 1, The Handbooks of Fuzzy Sets Series, pp. 69-101, (Springer) (1998)