On different types of fuzzy skylines

  • Authors:
  • Allel Hadjali;Olivier Pivert;Henri Prade

  • Affiliations:
  • Irisa-Enssat, University of Rennes 1, Lannion Cedex, France;Irisa-Enssat, University of Rennes 1, Lannion Cedex, France;IRIT, CNRS and University of Toulouse, Toulouse Cedex 9, Fra

  • Venue:
  • ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
  • Year:
  • 2011

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Abstract

This paper deals with database preference queries based on the skyline paradigm, which aim at retrieving the tuples non Paretodominated 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.