Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Production Matching for Large Learning Systems
Production Matching for Large Learning Systems
A systematic approach to the assessment of fuzzy association rules
Data Mining and Knowledge Discovery
An Approach to Representing Uncertainty Rules in RuleML
RULEML '06 Proceedings of the Second International Conference on Rules and Rule Markup Languages for the Semantic Web
Reasoning with imprecise belief structures
International Journal of Approximate Reasoning
f-SWRL: a fuzzy extension of SWRL
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Geometry of Dempster's rule of combination
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rule chaining in fuzzy expert systems
IEEE Transactions on Fuzzy Systems
Fuzzy Reasoning with a Rete-OO Rule Engine
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Towards Modelling Defeasible Reasoning with Imperfection in Production Rule Systems
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
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The RETE algorithm has been used to implement first-order logic based inference engines and its object-oriented extension allows to reason directly over entities rather than predicates. One of the limitations of FOL is its inability to deal with uncertainty, although it exists in many forms and it is typical of the way humans reason. In this paper, the steps of a general uncertain reasoning are outlined, without choosing a specific type or representation of uncertainty. Then, the process is translated into a further extension of the RETE networks, showing a possible architecture allowing a Rete-OO based engine to reason with uncertain rules. This architecture is being implemented in the Drools rule engine.