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The development of a novel soft computing approach to model the supervisor of manufacturing systems is described, it is named Fuzzy Cognitive Maps (FCMs) and it is used to model the behaviour of complex systems. Fuzzy cognitive maps combine characteristics of both fuzzy logic and neural networks. The description and the construction of fuzzy cognit...
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... controllers are used to control these two processes and human operators supervise the whole system. A fuzzy cognitive map that will model human supervision at the chemical plant is developed and it is illustrated in Figure 3. It consists of seven concepts that represent general characteristics of the plant and is developed by a group of experts who supervise the process and know the operation of the system: Concept 1: the state of Process 1; Concept 2: it represents the state of Pipeline which connects the two processes; Concept 3: the state of the Process 2; Concept 4: the Final Product of the two chemical processes; Concept 5: the quality of the Final Product; Concept 6: the appearance of Failure 1, mostly related to Process 1; Concept 7: the appearance of Failure 2, mostly related to Process 2. ...
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... Different types of impact analysis models and tools have been proposed in the existing literature 2 , each with their own pros and cons in terms of functionalities and analyst needs. In the case of FCMs, it is useful for modelling systems that cannot be explained entirely mathematically or that need to represent both qualitative and quantitative information or model both tangible and intangible issues [7]. Thus, FCMs are able to represent domain or process or problems that can be considered to be complex, vague and even incalculable [3]. ...
This paper presents how Fuzzy Cognitive Map (FCM) technique can be applied by a policy maker to support the policy impact evaluation using the example of Policy Compass, an EU research project. The practical usage example on interest rate policy shows the potential of FCMs as a policy impact modelling tool. Through the provision of a more intuitive and easier means of using open data based on FCM techniques, the Policy Compass project can play a critical role for both policy maker and lay public to evaluate the policy impact and prepare for future policy making.
... Note that the restriction is only used when self causation is assumed as impossible. An alternative approach has been introduced in [25], claiming to " introduce some kind of memory effect " to concepts in FCM and has become increasingly popular, although, as one will discuss in section IV., it completely alters the semantics of the original FCM: ...
... The ideal solution would be to be able to combine both solutions and have both the absolute value and variation of a concept on a given iteration (which is the common sense when representing the dynamics of a given instance). This leads us to (3), the solution proposed by Stylios [25]. Notice that the main difference between this implementation of FCM, and the original from Kosko (1), is that the previous value of a concept is always added to itself in the present iteration. ...
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... The interrelationships among these concepts -main characteristics of the system -are fuzzy weighted arcs between concepts. [6]. ...
Fuzzy Cognitive Map (FCM) is a soft computing modelling methodology for complex systems. Beyond the mathematical formulation of the FCM theory, there was a need of developing a software tool to facilitate the implementation of FCMs. This paper describes the use of a software tool that was developed to construct FCM models. Some theoretical elements of Fuzzy Cognitive Maps are presented. Then, it is discussed how the software tool is used to develop a model and simulate the use of Fuzzy Cognitive Maps. The user interface of the software tool is described and how the FCM-Analyst is used to facilitate the implementation and simulation of Fuzzy Cognitive Maps.
