Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
International Journal of Man-Machine Studies
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
Prolog (3rd ed.): programming for artificial intelligence
Prolog (3rd ed.): programming for artificial intelligence
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)
Quantization effects on the equilibrium behavior of combined fuzzy cognitive maps: Research Articles
International Journal of Intelligent Systems
Genetic learning of fuzzy cognitive maps
Fuzzy Sets and Systems
Modeling uncertainty in clinical diagnosis using fuzzy logic
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
RuleML representation and simulation of Fuzzy Cognitive Maps
Expert Systems with Applications: An International Journal
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The method of Fuzzy Cognitive Map (FCM) is a combination of Fuzzy Logic and Artificial Neural Networks that is heavily used by experts and scientists of a diversity of disciplines, for strategic planning, decision making and predictions. A system that would assist decision makers to represent and simulate their own developed Fuzzy Cognitive Maps would be highly appreciated by them, especially from those that do not possess adequate computer skills. In this paper, a Prolog based system is designed and implemented to assist experts to both construct and simulate of their own FCMs. The representation capabilities of the system and the design choices are discussed and a variety of examples are given to demonstrate the use of the system.