This research paper aims to propose a multicriteria solution to the multiple-choice problematic within the same decision problem, based on the hypothesis that the ‘n’ best alternatives in a ranking listing are not necessarily the best set of ‘n’ alternatives. Through experimental research, a recruiting problem where three candidates should be chosen from a set of ten is simulated. MEM - Multiplex Electionis Methodus – offers a solution to this problem starting from the traditional modeling of the decision problems, with a payment matrix and weights vector, and aggregating a matrix of complementarity among criteria. The results show that the best triple set is not the set of the three best ranked options in a simple ranking list, thus fulfilling the research paper’s objective by confirming the stated hypothesis, thereby contradicting the intuitive decision based on the assumption that the ‘n’ first alternatives compose the best set of ‘n’ alternatives.
Multiple-choice; Multicriteria method; Decision theory
