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Processing fuzzy SQL queries with flat, context-dependent and multidimensional membership functions

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Analysis of new trends in databases development shows that promising solution in databases gathering a huge quantities of information is approximate retrieval. This work presents the fuzzy queries processing with a special attention to context-dependent and multidimensional membership functions. In the first part, the analysis of occurrence of fuzzy values in SQL queries directed to the databases is shown. Next, the process of interpretation of filtering conditions in SQL queries is discussed and condition on compatibility degree is introduced to SQL queries notation. The main part of the paper describes application of context-dependent and multidimensional membership functions in fuzzy SQL queries as two different approaches, and a whole process of their usage interpretation. All issues considered in this work are illustrated by appropriate examples.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Computational Intelligence
PublisherActa Press
Pages36-41
Number of pages6
ISBN (Print)0889864810, 9780889864818
Publication statusPublished - 2005
EventIASTED International Conference on Computational Intelligence, CI 2005 - Calgary, AB, Canada
Duration: 4 Jul 20056 Jul 2005

Publication series

NameProceedings of the IASTED International Conference on Computational Intelligence
Volume2005

Conference

ConferenceIASTED International Conference on Computational Intelligence, CI 2005
Country/TerritoryCanada
CityCalgary, AB
Period4/07/056/07/05

Keywords

  • Fuzzy SQL queries
  • Fuzzy databases
  • Membership functions

ASJC Scopus subject areas

  • General Engineering

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