Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Representing Uncertainty in RuleML
Fundamenta Informaticae
Adding Uncertainty to a Rete-OO Inference Engine
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
The RuleML family of web rule languages
PPSWR'06 Proceedings of the 4th international conference on Principles and Practice of Semantic Web Reasoning
FuzzyShell: a large-scale expert system shell using fuzzy logic for uncertainty reasoning
IEEE Transactions on Fuzzy Systems
SWRL-F: a fuzzy logic extension of the semantic web rule language
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
An application of fuzzy logic to strategic environmental assessment
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
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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.