An egalitarian decision model to select young talents in a large company based on a stable matching process

Group Decision analysis and game theory have proven to be valuable tools in the literature, and studies about these topics have emerged over time. This paper proposes a method based on artificial intelligence process concepts and a recent stable matching process approach to solving a real problem: selecting young talents in a steel company. The technique mixes the computational methods of stable marriage with voting concepts and optimization to support the group evaluation.