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Fuzzy analysis method with artificial nerve network applied in information risk assessment

Author(s): Cheng Yuandong

The F-BPNN (Fuzz-back-propagation neural network) model of information security risk assessment will also be presented. By using the neural network model effectively the artificial influence in the traditional evaluation process such as the analysis hierarchy process could be avoided. It is hoped that the results of the study will summarize and enrich the implementation model of the information security risk assessment.

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