Fuzzy Cognitive Maps in modeling supervisory control systems

Authors:
Chrysostomos D. Stylios;Peter P. Groumpos
Affiliations:
Laboratory for Automation and Robotics, Department of Electrical and Computer Engineering, University of Patras, 26500 Rion, Patras, Greece. Tel.&colon/ +30 61 997295&semi/ Fax&colon/ +30 61 99730 ...;Laboratory for Automation and Robotics, Department of Electrical and Computer Engineering, University of Patras, 26500 Rion, Patras, Greece. Tel.&colon/ +30 61 997295&semi/ Fax&colon/ +30 61 99730 ...
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2000

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Abstract

This paper investigates a hybrid methodology that combines fuzzy logic and neural networks, Fuzzy Cognitive Map (FCM), for modeling and controlling Supervisory Control Systems. A mathematical description of Fuzzy Cognitive Maps (FCM) will be presented and new construction methods will be extensively examined. A Fuzzy Cognitive Map will be developed to model and control a process example and the Supervisor-FCM model characteristics will be discussed. There is a going need for more autonomous and intelligent systems, especially in Complex Systems area, the application of Fuzzy Cognitive Maps for modeling the Supervisor may contribute to develop more sophisticated systems.