IFOOD: An intelligent fuzzy object-oriented database architecture

Murat Koyuncu, Adnan Yazici

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)


Next generation information system applications require powerful and intelligent information management that necessitates an efficient interaction between database and knowledge base technologies. It is also important for these applications to incorporate uncertainty in data objects, in integrity constraints, and/or in application. In this study, we propose an intelligent object-oriented database architecture, IFOOD, which permits the flexible modeling and querying of complex data and knowledge including uncertainty with powerful retrieval capability.

Original languageEnglish
Pages (from-to)1137-1154
Number of pages18
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number5
Publication statusPublished - Sep 1 2003


  • Flexible querying
  • Fuzzy set theory
  • Knowledge-base systems
  • Object-oriented databases
  • Uncertainty

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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