Normalization and lossless join decomposition of similarity-based fuzzy relational databases

Bahar O., Yazici A.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol.19, no.10, pp.885-917, 2004 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 19 Issue: 10
  • Publication Date: 2004
  • Doi Number: 10.1002/int.20029
  • Journal Name: INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.885-917
  • Middle East Technical University Affiliated: No

Abstract

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. (C) 2004 Wiley Periodicals, Inc.