Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions

We present a new method, called UTAGMS, for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. The preference information provided by the decision maker is a set of pairwise comparisons on a subset of alternatives AR ⊆ A, called reference alternatives. The preference model built via ordinal regression is the set of all additive value functions compatible with the...