Fuzzy reasoning with a rete-oo rule engine

Nikolaus Wulff, Davide Sottara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Rules and rule engines play an important role in automated decision making processes like business workflows or system monitoring. Classical inference machines evaluate rules until a final "yes" or "no" decision: this crisp classification schema can turn into a deficiency when they have to deal with uncertain or inprecise knowledge. To circumvent some of these limitations we have built the "Java Expert Fuzzy Inference System" (Jefis) and implemented factory methods to deploy the Jefis library as an extension for the classical rule engine JBoss Drools. We outline the new features and give examples of uncertain formulated rules executing within the Jefis Drools extender.

Original languageEnglish (US)
Title of host publicationRule Interchange and Applications - International Symposium, RuleML 2009, Proceedings
Number of pages8
StatePublished - 2009
Externally publishedYes
EventInternational Symposium on Rule Interchange and Applications, RuleML 2009 - Las Vegas, NV, United States
Duration: Nov 5 2009Nov 7 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherInternational Symposium on Rule Interchange and Applications, RuleML 2009
Country/TerritoryUnited States
CityLas Vegas, NV


  • Fuzzy logic
  • Inference engine
  • Uncertain reasoning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Fuzzy reasoning with a rete-oo rule engine'. Together they form a unique fingerprint.

Cite this