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Conference Papers Year : 2010

Possibilistic contextual skylines with incomplete preferences


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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inria-00534244 , version 1 (21-09-2021)



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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