may obtain, and (4) the distributions of these ranks. Our work combines previous results from Robust Ordinal Regression …

We extend the principle of robust ordinal regression with an analysis of extreme ranking results. In our proposal, we … overall ranking, and not only in terms of pairwise comparisons, as it is the case in original robust ordinal regression … ordinal regression. Then, we consider all complete rankings that follow the use of the compatible preference models, and we …

We introduce the concept of a representative value function in robust ordinal regression applied to multiple criteria … intensities of preference on a subset of reference alternatives. Robust ordinal regression builds a set of general additive value … compatibles ones. There are a few targets which build on results of robust ordinal regression, and could be attained by a …