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| Sourd, Romain Crastes Dit |
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| Marton, Peter |
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| Toaza, Bladimir |
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| Lubashevsky, Katrin |
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| Ambros, Jiří |
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| Niederdränk, Simon |
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| Khoshkha, Kaveh |
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| Brenner, Thomas |
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| Badea, Andrei | Delft |
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| Michálek, Tomáš | Pardubice |
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| Jensen, Anders Fjendbo | Kongens Lyngby |
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| Le Goff, A. |
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| Greer, Ross |
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| Gutiérrez, Javier | Madrid |
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| Sagues, Mikel |
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| Eggermond, Michael Van |
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| Milica Milovanović, M. |
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| Carrasco, Juan-Antonio |
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| Groen, Eric L. |
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| Tzenos, Panagiotis |
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| Mesas, Juan-José |
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| Oikonomou, Maria G. |
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| Messiou, Chrysovalanto |
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| Giuliani, Felice |
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| Roussou, Julia |
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Morgan, Jacqueline
in Cooperation with on an Cooperation-Score of 37%
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Publications (10/10 displayed)
- 2023Asymptotic behavior of subgame perfect Nash equilibria in Stackelberg gamescitations
- 2019Further on Inner Regularizations in Bilevel Optimizationcitations
- 2017Inner Regularizations and Viscosity Solutions for Pessimistic Bilevel Optimization Problemscitations
- 2017Equilibrium selection in multi-leader-follower games with vertical informationcitations
- 2014On Ordered Weighted Averaging Social Optima
- 2009Equilibrium selection and altruistic behavior in noncooperative social networkscitations
- 2007Asymptotical behavior of finite and possible discontinuous economiescitations
- 2005Approximations and Well-Posedness in Multicriteria Gamescitations
- 2005Preface
- 2002A new look for Stackelberg-Cournot equilibria in oligopolistic marketscitations
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document
On Ordered Weighted Averaging Social Optima
Abstract
In this paper, we look at the classical problem of aggregating individual utilities and study social orderings which are based on the concept of Ordered Weighted Averaging Aggregation Operator. In these social orderings, called Ordered Weighted Averaging Social Welfare Functions, weights are assigned a priori to the positions in the social ranking and, for every possible alternative, the total welfare is calculated as a weighted sum in which the weight corresponding to the k th position multiplies the utility in the k th position. In the α -Ordered Weighted Averaging Social Welfare Function, the utility in the k th position is the k th smallest value assumed by the utility functions, whereas in the β -Ordered Weighted Averaging Social Welfare Function it is the utility of the k th poorest individual. We emphasize the differences between the two concepts, analyze the continuity issue, and provide results on the existence of maximum points.
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