Incorporating fuzziness into active rules

Burcin Bostan-Korpeoglu, Adnan Yazici

Research output: Contribution to journalArticlepeer-review

Abstract

Knowledge intensive applications require an intelligent environment, which can perform deductions in response to user queries or events that occur inside or outside of the applications. For that, we propose a fuzzy active object-oriented database for modeling knowledge intensive applications. In that, we incorporate fuzziness within the event, condition and action parts of an active rule. We consider deductive rules as special cases of active rules so that deductive queries are handled using abstract kind of events. We also introduce a model for fuzzy inferencing of fuzzy active rules where we develop a model for scenario concept. We use a Fuzzy Petri Net model for fuzzy rule-based inference.

Original languageEnglish
Pages (from-to)735-757
Number of pages23
JournalInternational Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
Volume16
Issue number5
DOIs
Publication statusPublished - Oct 1 2008

Keywords

  • Active database
  • Deductive rules
  • Fuzziness
  • Fuzzy inference
  • Fuzzy Petri net
  • Object-oriented database
  • Scenario

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Artificial Intelligence

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