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 rules. The approach we propose, which is based on some concepts from the fuzzy control domain (aggregation and defuzzification, in particular), 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 a fuzzy reasoner is outlined.
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Pivert, O., Hadjali, A., Smits, G. (2011). On Database Queries Involving Inferred Fuzzy Predicates. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2011. Lecture Notes in Computer Science(), vol 6804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21916-0_63
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DOI: https://doi.org/10.1007/978-3-642-21916-0_63
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