A. Chateauneuf, On the use of capacities in modeling uncertainty aversion and risk aversion, Journal of mathematical Economics, vol.20, issue.4, pp.343-369, 1991.

M. Grabisch, J. L. Marichal, R. Mesiar, and E. Pap, Aggregation functions, vol.127, 2009.
URL : https://hal.archives-ouvertes.fr/halshs-00445120

X. D. He and X. Y. Zhou, Portfolio choice under cumulative prospect theory: An analytical treatment, Management Science, vol.57, issue.2, pp.315-331, 2011.

G. Hines and K. Larson, Preference elicitation for risky prospects, Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, vol.1, pp.889-896, 2010.

J. Jaffray and T. Nielsen, An operational approach to rational decision making based on rank dependent utility, European J. of Operational Research, vol.169, issue.1, pp.226-246, 2006.

G. Jeantet and O. Spanjaard, Computing rank dependent utility in graphical models for sequential decision problems, Artificial Intelligence, vol.175, issue.7-8, pp.1366-1389, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01170289

D. Kahneman and A. Tversky, Prospect theory: An analysis of decision under risk, Econometrica, vol.47, issue.2, pp.263-292, 1979.

C. Labreuche and M. Grabisch, Generalized choquet-like aggregation functions for handling bipolar scales, European Journal of Operational Research, vol.172, issue.3, pp.931-955, 2006.
URL : https://hal.archives-ouvertes.fr/halshs-00186907

X. Li, W. Wang, C. Xu, Z. Li, and B. Wang, Multi-objective optimization of urban bus network using cumulative prospect theory, Journal of Systems Science and Complexity, vol.28, issue.3, pp.661-678, 2015.

R. Mansini, W. Ogryczak, and M. G. Speranza, Twenty years of linear programming based portfolio optimization, European Journal of Operational Research, vol.234, issue.2, pp.518-535, 2014.

R. Mansini, W. Ogryczak, M. G. Speranza, . Of-european-operational-research, and E. T. Societies, Linear and mixed integer programming for portfolio optimization, 2015.

H. Martin and P. Perny, Biowa for preference aggregation with bipolar scales: Application to fair optimization in combinatorial domains, 2019.

W. Ogryczak and T. ?liwi?ski, On efficient wowa optimization for decision support under risk, International Journal of Approximate Reasoning, vol.50, issue.6, pp.915-928, 2009.

P. Perny, O. Spanjaard, and L. X. Storme, State space search for risk-averse agents, IJCAI, pp.2353-2358, 2007.
URL : https://hal.archives-ouvertes.fr/hal-01311730

P. Perny, P. Viappiani, and A. Boukhatem, Incremental preference elicitation for decision making under risk with the rank-dependent utility model, Proc. of Uncertainty in Artificial Intelligence, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01345457

L. Prashanth, C. Jie, M. Fu, S. Marcus, and C. Szepesvári, Cumulative prospect theory meets reinforcement learning: Prediction and control, International Conference on Machine Learning, pp.1406-1415, 2016.

J. Quiggin, Generalized expected utility theory -The rank-dependent model, 1993.

M. Rothschild and J. E. Stiglitz, Increasing risk: I. a definition, Journal of Economic theory, vol.2, issue.3, pp.225-243, 1970.

L. J. Savage, The Foundations of Statistics, 1954.

D. Schmeidler, Integral representation without additivity, Proceedings of the American Mathematical Society, vol.97, issue.2, pp.255-261, 1986.

U. Schmidt and H. Zank, Risk aversion in cumulative prospect theory, Management Science, vol.54, issue.1, pp.208-216, 2008.

L. Shapley, Cores of convex games, International Journal of Game Theory, vol.1, pp.11-22, 1971.

A. Tversky and D. Kahneman, Advances in prospect theory: Cumulative representation of uncertainty, Journal of Risk and uncertainty, vol.5, issue.4, pp.297-323, 1992.

V. Neumann, J. Morgenstern, and O. , Theory of games and economic behavior, 1947.

M. Yaari, The dual theory of choice under risk, Econometrica, vol.55, pp.95-115, 1987.