Fuzzy object-oriented database modeling coupled with fuzzy logic

Adnan Yazici, Murat Koyuncu

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


This paper presents a modeling approach which couples fuzzy object-oriented database modeling with fuzzy logic. The modeling approach introduced here handles fuzziness at attribute, object/class and class/superclass levels in addition to fuzziness in class/class relationships and various associations among classes. We utilize logical rules to define some of the crisp/fuzzy relationships and associations which cannot be presented easily with object-oriented modeling features alone in the class hierarchies. We think that incorporation of object-oriented database modeling with logic along with usage of fuzzy set theory simplifies the design of complex and knowledge-intensive applications and handles uncertainty effectively, therefore resulting in a powerful modeling framework.

Original languageEnglish
Pages (from-to)1-26
Number of pages26
JournalFuzzy Sets and Systems
Issue number1
Publication statusPublished - Jan 1 1997


  • Fuzzy set theory
  • Logic programming
  • Object-oriented database modeling
  • Uncertainty

ASJC Scopus subject areas

  • Logic
  • Artificial Intelligence

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