Searching for "Comments on "Knowledge Representation Using Fuzzy Petri Nets"." – sorted by Relevance.
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Logic and Fuzzy Petri Nets
- that combines fuzzy set theory and Petri net theory, is a tool for the representation of uncertain knowledge
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Fuzzy Petri nets for monitoring and recovery
- corresponding model (monitoring fuzzy Petri net - MFPN) are illustrated in figure 1 using a fuzzy signal
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Fuzzy Petri nets and their application in CIME
- . 1 Preliminary discussion 1.1 Why Fuzzy Petri nets are useful for CIME? Factory automation has been
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Petri Nets
- concepts and uses of Petm nets. The structure of Petri nets, their markings and execution, several examples
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Logical Reasoning and Petri Nets
- , it is quite valuable for checking Petri net representations of rule based systems. It was used so far
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A Study in Fuzzy Petri Nets and the Relationship to Fuzzy Logic Programming
- and third section we look at two di#erent Fuzzy Petri Net ideas. In the last section we will use the "Car
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Petri net representations in systems biology
- Petri Net has been used in the representation and simulation of gene regulation networks and signal
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A Scalable Petri Net Representation
- to other representation approaches. However, radically different approaches using Petri nets have been
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The Petri Net Kernel: An Infrastructure for Building Petri Net Tools
- elements (such as time annotations etc.). A Petri net type uses only strings as external representation
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Topological Modeling with Fuzzy Petri Nets for Autonomous Mobile Robots
- and propositions. When fuzzy Petri nets are used for knowledge representation the set of propositions D defines
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