In this paper, a review of decision-making models based on the rough set theory is presented. The use of these techniques allows for the presence of uncertainty in computer models that are developed for decision making, and to formulate the decision-making models using the experiences of previous decisions made. Since the formulation of these models differs from the classical approach of decision-making models, in this paper, the models are analyzed and a method is proposed for its implementation.