International Journal of Man-Machine Studies
Hidden patterns in combined and adaptive knowledge networks
International Journal of Approximate Reasoning
Neural network PC tools: a practical guide
Neural network PC tools: a practical guide
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Cognitive mapping and certainty neuron fuzzy cognitive maps
Information Sciences: an International Journal
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper we propose the use of Fuzzy Cognitive Map (FCM) models for decision making through simulations. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The concepts are represented by nodes and the causal relationships by directed arcs between the nodes. Each arc is accompanied by a weight that defines the type of causal relation between the two nodes. The sign of the weight determines the positive or negative causal relation between the two concepts-nodes. In this paper the decision making capabilities of the FCM models are examined and presented using a model concerning a car industry. The model is examined dynamically through simulations, in order to simulate scenarios proposed by decision makers. Predictions are made by viewing dynamically the consequences of the scenario's actions. Conclusions are drawn for the use of FCM models for decision making and possible ways are identified, to increase the quality of the constructed FCM model.