THE CHALLENGE OF MODELING SUPERVISORY SYSTEMS USING FUZZY COGNITIVE MAPS

This paper examines fuzzy cognitive map (FCM) theory and its use in su pervisory control systems. An FCM is a graph used to depict cause and effect between concepts that stand for the states and variables of the system. An FCM represents the whole system in a symbolic manner, just as humans have stored the operation of the system in their brains, th us it is possible to help man's intention for more intelligent and aut onomous systems. FCM representation, construction and a mathematical m odel are examined; a generic system is proposed and the implementation of FCM in a process control problem is illustrated and a model for su pervisors of manufacturing systems is discussed. Although an FCM seems to be a simple model of system behaviour, it appears to be a powerful and effective tool describing the behaviour of a system and represent ing the accumulated knowledge of a system.