Proceedings of the XXth Conference of Open Innovations Association FRUCT (Apr 2022)
Adjustment of Fuzzy Cooperative Game for Hospitalization Strategy Selection Based on a Genetic Algorithm
Abstract
The paper proposes an adjustment of the formalization of a fuzzy cooperative game for choosing an action strategy during hospitalization by a genetic algorithm. Adjustment expands the number of possible strategies for the player, additionally introducing the requirement for coordination of actions between the players. Since this increases the number of possible combinations of actions and increases the complexity of the calculation, a genetic algorithm is used in the paper to select an effective strategy for the actions of coalition members in the hospitalization process. As a fitness function, the characteristic function of estimating the gain of the coalition is used. The simulation results on the data obtained during the analysis of the hospitalization process in Russia showed that for small numbers of participants it is more efficient to search for a solution to the game by comparing all possible options, while with an increase in the number of participants, starting from 200 participants, the genetic algorithm starts to win in terms of performance.
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