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

Martine De Calmès (1) , Didier Dubois (2) , Eyke Hüllermeier (3) , Henri Prade (2) , Florence Sèdes (4)

1 IRIT - Institut de recherche en informatique de Toulouse
2 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
3 Philipps Universität Marburg = Philipps University of Marburg
4 IRIT-SIG - Systèmes d’Informations Généralisées

Queries to a database can be made more powerful by allowing fleixility 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' prefèrences 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.

Domaines: Intelligence artificielle [cs.AI]

Martine De Calmès, Didier Dubois, Eyke Hüllermeier, Henri Prade, Florence Sèdes. Flexibility and fuzzy case-based evaluation in querying: An illustration in an experimental setting. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003, 11 (1), pp.43-66. ⟨10.1142/S0218488503001941⟩. ⟨hal-03370931⟩