Integrated Query Answering with Weighted Fuzzy Rules

Authors:
Alexandros Chortaras;Giorgos Stamou;Andreas Stafylopatis
Affiliations:
School of Electrical and Computer Engineering, National Technical University of Athens Zografou, Athens, Greece 157 80;School of Electrical and Computer Engineering, National Technical University of Athens Zografou, Athens, Greece 157 80;School of Electrical and Computer Engineering, National Technical University of Athens Zografou, Athens, Greece 157 80
Venue:
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2007

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Abstract

Weighted fuzzy logic programs increase the expressivity of fuzzy logic programs by allowing the association of a significance weight with each atom in the body of a fuzzy rule. In this paper, we propose a prototype system for the practical integration of weighted fuzzy logic programs with relational database systems in order to provide efficient query answering services. In the system, a dynamic weighted fuzzy logic program is a set of rules together with a set of database queries, fuzzification transformations and fact derivation rules, which allow the provided set of rules to be augmented with a set of fuzzy facts retrieved from the underlying databases. The weights of the rules may be estimated by a neural network-based machine learning process using some specially designated for this purpose training database data.