Possibilistic contextual skylines with incomplete preferences

Publication Type:
Conference Proceeding
Citation:
Proceedings of the 2010 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2010, 2010, pp. 57 - 62
Issue Date:
2010-12-01
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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. © 2010 IEEE.
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