中文摘要：

随着科技的发展信息系统也越来越复杂化，传统的方法已不能满足信息系统安全评价准确度的要求。为了能进一步提升信息系统安全评价的准确性，通过将模糊评价方法与BP神经网络方法相结合，提出了模糊神经网络综合评价方法。充分利用了模糊评价方法强的模糊性识别能力和BP神经网络的非线性处理能力，从而更为有效地对系统进行安全评价。实验结果验证了算法的有效性，并通过与模糊评价方法和BP神经网络方法进行对比验证了算法的优越性。

英文摘要：

With the development of science and technology, information system is becoming more and more complicated. The traditional method cannot meet the requirements of information system security evaluation accuracy. In order to promote the accuracy of the information system security evaluation, the fuzzy neural network compre- hensive evaluation method is proposed by combining the fuzzy evaluation method and the method of BP neural network. Full use of the fuzzy recognition ability of fuzzy evaluation method and the nonlinear processing ability of BP neural network is maken, so that the safety of the system accurately is evaluated. The experimental results demonstrate the effectiveness of the algorithm, and verify the superiority of the algorithm with the fuzzy evaluation method and BP neural network method for comparative analysis.