A Modified Multi Choice Goal Programming Approach under Uncertainty

Goal programming is classified as one of the oldest existing models of multi-criteria decision-making and a subset of multi-objective programming models which has been applied with wide applications. The purpose in this programming model is to simultaneously move towards multiple sometimes conflicting goals in such a way that enter the inspiration levels of the decision maker directly into the model and solve the model based on that. In this approach, a level of aspiration is considered by the decision maker for each goal. If the decision maker defines several aspiration levels for each goal, we have a multiple-choice goal programming problem which was first introduced by Chang. In this paper, we want to present a modified multi-choice goal programming model under uncertainty in a way that includes flexible continuous aspiration levels while considering the dependence of goals.