Management Decision-Making Based on Fuzzy Neural Network

In this paper, it proposes fuzzy neural network(NN) system which is used for management decision-making and composed of three separate networks. The system´s input can be both figures and vector language. The system´s output exceeds the standard neural network - two-valued logic state. Based on the ambiguity function, NN´s back-propagation algorithm and the monotonic function NN model the paper proposes the learning algorithm which is suitable for the fuzzy neural network. The system can well adapt to the management problems which are complex and ambiguous.