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Robust Ordinal Regression for Subsets Comparisons with Interactions
This paper is dedicated to a robust ordinal method for learning the preferences of a decision maker between subsets.
Cautious Learning of Multiattribute Preferences
This paper is dedicated to a cautious learning methodology for predicting preferences between alternatives characterized by binary attributes (formally, each alternative is seen as a subset of attributes).
Weighted majority tournaments and Kemeny ranking with 2-dimensional Euclidean preferences
In this note, we prove that the Kemeny ranking problem remains NP-hard for $k$-dimensional Euclidean preferences with $k\!\ge\! 2$ under norms $\ell_1$, $\ell_2$ and $\ell_\infty$, by showing that any weighted tournament (resp.
Bayesian preference elicitation for multiobjective combinatorial optimization
We introduce a new incremental preference elicitation procedure able to deal with noisy responses of a Decision Maker (DM).
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
In this paper, we advocate the use of setwise contests for aggregating a set of input rankings into an output ranking.
