Flexibility and fuzzy case-based evaluation in querying: an illustration in an experimental setting

  • Authors:

  • Martine De Calmès;Didier Dubois;Eyke Hullermeier;Henri Prade;Florence Sedes

  • Affiliations:

  • IRIT - Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier, 118 route de Narbonne, F-31062 Toulouse cedex, France;IRIT - Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier, 118 route de Narbonne, F-31062 Toulouse cedex, France;Department of Mathematics and Computer Science, University of Marburg, Germany;IRIT - Institut de Recherche en Informatique de Toulouse;IRIT - Institut de Recherche en Informatique de Toulouse

  • Venue:
  • International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
  • Year:
  • 2003

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Abstract

Queries to a database can be made more powerful by allowing flexibility in the specification of what has to be retrieved, and by referring to cases either for expressing the request, or for computing the answer. In this paper, we present an implemented information system (applied to a database describing houses to let), based on an approach developed in the fuzzy set and possibility theory setting. This provides a unified framework for expressing users' preferences about what they are looking for, for weighting the importance of requirements, for referring to examples that they like and/or counterexamples that they dislike, and for making case-based predictions. Thus information querying goes beyond the retrieving of items from a database, and involves associated tools which help the user to figure out the actual contents of the database.