The random neural model and the fuzzy logic on cognitive maps

This paper describes a fuzzy cognitive map based on the random neural network model, and illustrates its application in the modeling of process. This model is based on the probability of activation of the neurons/concepts in the network. Our model carries out inferences via numerical calculation instead of symbolic deduction. The arcs define the dynamic relationships between concepts and describe the causal procedures. We show how the random fuzzy cognitive map can reveal implications of models composed of dynamic processes. The experimental evaluation shows that our model provides similar results than previous fuzzy cognitive map with less iterations