Study of Manhattan's consensus degrees through an extension based on the Uniform distribution

An important aspect to be considered in Group Decision Making problems is the study of consensus. Since in these problems it is desirable that the final decision is widely accepted, improving the consensus degree in a fair way is a very interesting task. This paper analyses the improvement in the consensus degrees –obtained by applying Manhattan distance- when the experts’ preferences are slightly modified using one of the properties of the Uniform distribution. We carry out an experimental study that shows the enhancement in different cases to which Uniform extension is applied using different number of both, experts and alternatives.