A fuzzy Petri net model for intelligent databases
Data & Knowledge Engineering
Supervised learning on a fuzzy Petri net
Information Sciences: an International Journal
Fuzzy reasoning spiking neural P system for fault diagnosis
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A New Class of Fuzzy Petri Nets for Knowledge Representation and Reasoning
Fundamenta Informaticae - Concurrency, Specification and Programming
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The paper proposes a new model of Petri nets based on the use of logic based neurons. In contrast to the existing generalizations, this approach is aimed at neural-type modeling of the entire concept with a full exploitation of the learning capabilities of the processing units being used there. The places and transitions of the net are represented by OR and AND-type and DOMINANCE neurons, respectively. A correspondence between this model and the previous two-valued counterpart is also revealed. The learning aspects associated with the nets are investigated