Communication Dans Un Congrès Année : 2022

Possibilistic Preference Networks and Lexicographic Preference Trees - A Comparison

Résumé

The paper compares two graphical approaches proposed for the qualitative modeling of preferences: π-pref nets and LP-trees. The former uses the graphical setting of possibilistic networks for completing partial specifications of user preferences, while the latter, which is based on lexicographic ordering, appears to offer a convenient framework for learning preferences. The π-pref network representation appears to be more flexible, even if the addition of very specific constraints allows us to recover the total order of the LP-trees.

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hal-04959035 , version 1 (20-02-2025)

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  • HAL Id : hal-04959035 , version 1

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Nahla Ben Amor, Didier Dubois, Henri Prade, Syrine Saidi. Possibilistic Preference Networks and Lexicographic Preference Trees - A Comparison. 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - IPMU 2022, Jul 2022, Milan (Italie), Italy. pp.581-592. ⟨hal-04959035⟩
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