International Journal of Man-Machine Studies
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)
Expert Systems with Applications: An International Journal
Using fuzzy cognitive map for evaluation of RFID-based reverse logistics services
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Genetic algorithm dynamic performance evaluation for RFID reverse logistic management
Expert Systems with Applications: An International Journal
RuleML representation and simulation of Fuzzy Cognitive Maps
Expert Systems with Applications: An International Journal
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In this paper we use Fuzzy Cognitive Maps (FCMs), a well-established Artificial Intelligence technique that incorporates ideas from Artificial Neural Networks and Fuzzy Logic, to create a dynamic model of the Former Yugoslavian Republic of Macedonia (FYROM) Crisis in March 2001. FCMs create models as collections of concepts and the various causal relations that exist between these concepts. The decision capabilities of the FCM structure are examined and presented using a model that is developed based on the beliefs of a domain expert. The model is first examined statically using graph theory techniques to identify the vicious or the virtuous cycles of the decision process. The model is also tested dynamically thought simulations, in order to support political analysts and decision makers to their political decisions concerning the crisis. Scenarios are introduced and predictions are made by viewing dynamically the consequences of the corresponding actions.