New Metric Procedure for Better Decision-Making in the Case of Votes
摘要
In any voting process, one of the most important steps is the aggregation of individual preferences into a collective preference. For the approval voting system, aggregation is performed using aggregation operators or metrics, which are mathematical functions that combine and summarize multiple numerical values into a single one, such that the final result accounts for all individual values. The aggregation of preferences using metric procedures is highly regarded in the literature. However, some of these procedures often yield outcomes with multiple ties and are challenging to implement in practice, particularly in the African context. To address these shortcomings, we propose in this work a voting method based on the principle of approval voting and a metric procedure. The new method allows for the evaluation of all candidates, reduces compensatory effects, and produces a result without ties. We have applied this metric procedure to examples, and we observe that our results outperform those produced by some existing metric procedures in the literature.