Abstract
This paper deals with database preference queries based on the skyline paradigm, which aim at retrieving the tuples non Pareto-dominated by any other. We propose different ways to fuzzify such queries in order to make them more flexible, to increase their discrimination power, to make them more drastic or more tolerant. In particular, some of these extensions make it possible to reduce the risk of getting many incomparable tuples, even when the number of dimensions is high.
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Hadjali, A., Pivert, O., Prade, H. (2011). On Different Types of Fuzzy Skylines. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2011. Lecture Notes in Computer Science(), vol 6804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21916-0_62
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DOI: https://doi.org/10.1007/978-3-642-21916-0_62
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