Fuzzy Petri nets for rule-based decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Programming Applications for Microsoft Windows with Cdrom
Programming Applications for Microsoft Windows with Cdrom
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Knowledge Representation Using Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
Petri Nets for System Engineering: A Guide to Modeling, Verification, and Applications
Petri Nets for System Engineering: A Guide to Modeling, Verification, and Applications
Fuzzy Rule Base Systems Verification Using High-Level Petri Nets
IEEE Transactions on Knowledge and Data Engineering
A Fuzzy Petri Nets Based Mechanism for Fuzzy Rules Reasoning
COMPSAC '97 Proceedings of the 21st International Computer Software and Applications Conference
Implementation and evaluation of failsafe computer-controlled systems
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Petri net reachability checking is polynomial with optimal abstraction hierarchies
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A reasoning algorithm for high-level fuzzy Petri nets
IEEE Transactions on Fuzzy Systems
Analysis and design of hierarchical fuzzy systems
IEEE Transactions on Fuzzy Systems
Applying RFID hand-held device for factory equipment diagnosis
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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A fuzzy reasoning and verification Petri nets (FRVPNs) model is established for an error detection and diagnosis mechanism applied to a complex fault-tolerant PC-controlled system. The inference accuracy can be improved through the hierarchical design of a two-level fuzzy rule decision tree and a Petri nets technique to transform the fuzzy rule into the FRVPNs model. Several simulation examples of the assumed failure events were carried out by using the FRVPNs and the Mamdani fuzzy method with MATLAB tools. The reasoning performance of the developed FRVPNs was verified by comparing the inference outcome to that of the Mamdani method. Both methods result in the same conclusions. Thus, the present study demonstrates that the proposed FRVPNs model is able to achieve the purpose of reasoning, and furthermore, determining of the failure event of the monitored application program.