Case-based querying and prediction: a fuzzy set approach

Queries to a database can be made more powerful and user friendly by referring to cases, either for expressing the request, or for computing the answer. This requires some similarity-based reasoning facilities. In this paper, we present an implemented information system (applied to a database describing house renting), based on an approach developed in the fuzzy set and possibility theory setting. This provides a unified framework for: expressing user´s preferences about what he is looking for; weighting the importance of requirements; expressing similarity relations; referring to examples that he/she likes and/or counter-examples that he/she dislikes; and for making case-based predictions