2022
DOI: 10.1007/978-3-030-95380-5_2
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A Two-Stage Variational Inequality Formulation for a Game Theory Network Model for Hospitalization in Critic Scenarios

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Cited by 4 publications
(3 citation statements)
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“…In view of this result, we focus on the study of a SLMF game of multistage stochastic nature. At the lower-level, the presence of a suitable GNEP of multistage stochastic nature describing the interactions among the followers and parametrized by the leader strategy could allow us to capture a wide range of applications: energy market models, network models, water optimal allocation problems, demand-side management problems, medical supply competitions, etc; see, e.g., [21,23,24,27]. For this reason, this paper is the starting point for future developments.…”
Section: Discussionmentioning
confidence: 99%
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“…In view of this result, we focus on the study of a SLMF game of multistage stochastic nature. At the lower-level, the presence of a suitable GNEP of multistage stochastic nature describing the interactions among the followers and parametrized by the leader strategy could allow us to capture a wide range of applications: energy market models, network models, water optimal allocation problems, demand-side management problems, medical supply competitions, etc; see, e.g., [21,23,24,27]. For this reason, this paper is the starting point for future developments.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, at the upper level, one can always consider a leader with a certain objective: for instance, it could be a regulator. Instead, at the lower level, it is possible to fit a suitable GNEP describing the interactions among the followers in the considered application, parametrized by the leader strategy; see, e.g., [21,23,24] for problems in multistage stochastic settings.…”
Section: Multistage Stochastic Slmf Gamementioning
confidence: 99%
“…In order to improve the objectivity, science and accuracy of the indicator assignment, game theory is introduced into the indicator weights ( 30 ). The game principle means that each player in the game decides which action to take, according to their interests and taking into account the possible impact of their decision-making behavior on the behavior of others, by considering the equilibrium between the mutually influencing behaviors, to achieve the goal of optimization of the subject’s objectives in a state of compromise between the factors ( 31 ).…”
Section: Methodsmentioning
confidence: 99%