This article elaborates on the connection between multiple criteria decision aiding (MCDA) and preference learning (PL), two research fields with different roots and developed in different communities. It complements the first part of the paper, in which we started with a review of MCDA. In this...

Multiple criteria decision aiding (MCDA) and preference learning (PL) are established research fields, which have different roots, developed in different communities – the former in the decision sciences and operations research, the latter in AI and machine learning – and have their own...

Many occurrences in real-life result from decisions taken by a very large number of decision makers. Furthermore, these decisions often depend on the optimisation of several conflicting criteria. The decision or behaviour of every microscopic entity results finally in a global macroscopic...