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Possibilistic contextual skylines with incomplete preferences

Allel Hadjali 1 Olivier Pivert 1 Henri Prade 2 
1 PILGRIM - Gradedness, Imprecision, and Mediation in Database Management Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
2 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
IRIT - Institut de recherche en informatique de Toulouse
Abstract : We propose a possibility theory-based approach to the treatment of missing user preferences in skyline queries. To compensate this lack of knowledge, we show how a set of plausible preferences suitable for the current context can be derived either in a case-based reasoning manner, or using an extended possibilistic logic setting. Uncertain dominance relationships are defined in a possibilistic way and the notion of possibilistic contextual skyline is introduced. This kind of skyline allows us to return the tuples that are non-dominated with a high certainty. The paper also includes a structured overview of the different types of “fuzzy” skylines.
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https://hal.inria.fr/inria-00534244
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Submitted on : Tuesday, September 21, 2021 - 11:55:05 AM
Last modification on : Wednesday, June 1, 2022 - 4:08:11 AM
Long-term archiving on: : Wednesday, December 22, 2021 - 6:51:46 PM

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Allel Hadjali, Olivier Pivert, Henri Prade. Possibilistic contextual skylines with incomplete preferences. 2nd International Conference on Soft Computing and Pattern Recognition (SoCPaR 2010), Dec 2010, Cergy-Pontoise, France. ⟨10.1109/SOCPAR.2010.5686427⟩. ⟨inria-00534244⟩

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