Data management research at the Middle East Technical University
ACM SIGMOD Record
A Normalization Framework for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
Normalization in a rough relational database
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Prioritized fuzzy logic based information processing in relational databases
Knowledge-Based Systems
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Fuzzy relational database models generalize the classical relational database model by allowing uncertain and imprecise information to be represented and manipulated. In this article, we introduce fuzzy extensions of the normal forms for the similarity-based fuzzy relational database model. Within this framework of fuzzy data representation, similarity, conformance of tuples, the concept of fuzzy functional dependencies, and partial fuzzy functional dependencies are utilized to define the fuzzy key notion, transitive closures, and the fuzzy normal forms. Algorithms for dependency preserving and lossless join decompositions of fuzzy relations are also given. We include examples to show how normalization, dependency preserving, and lossless join decomposition based on the fuzzy functional dependencies of fuzzy relation are done and applied to some real-life applications. © 2004 Wiley Periodicals, Inc. Int J Int Syst 19: 885–917, 2004.