Risk Assessment Model of Ship Integrated Navigation System Based on Fuzzy Artificial Neural Network

The risk assessment is an important means to obtain the status of system security and an important basis to develop security solutions as well. Taking the integrated navigation system as the research object, this article proposes an evaluation model which can apply to the system of risk assessment taken by the neural network and the fuzzy theory. The model use the fuzzy evaluation method to quantize the risk factors of the system, to make the fuzzy system output as input of neural network system and the risk value as the output of the network, to make the training of network by calculating the value of those samples and to validate with examples. The analysis shows that it is a practical method to certain extent.