A fuzzy-rule-based approach to the handling of inferred fuzzy predicates in database queries

Authors:
Allel Hadjali;Olivier Pivert
Affiliations:
Irisa – Enssat, University of Rennes 1, Lannion Cedex, France;Irisa – Enssat, University of Rennes 1, Lannion Cedex, France
Venue:
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Year:
2011

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Abstract

This paper deals with database preference queries involving fuzzy conditions which do not explicitly refer to an attribute from the database, but whose meaning is rather inferred from a set of fuzzy rules. The approach we propose, which is based on the fuzzy inference pattern called generalized modus ponens, significantly increases the expressivity of fuzzy query languages inasmuch as it allows for new types of predicates. An implementation strategy involving a coupling between a DBMS and an inference engine is outlined.