A novel multicriteria decision aiding method based on unsupervised aggregation via the Choquet integral

In multicriteria decision aiding (MCDA), the Choquet integral has been used as an aggregation operator to deal with the case of interacting decision criteria. In this context, a practical problem that arises is related to the identification of the parameters associated with the Choquet integral, which are known as the Choquet capacities. In this paper, we address the problem of capacity identification by means of unsupervised learning, which, in...