A New Information Security Risk Assessment Method in Power Production System Based on Rough Sets and Bayesian Network
Zhonghua Dai, Haihui Gao, Yong Jun Peng, Lu Huikang · 2014
Power production control system is very important in the power system. In paper, a new method of risk assessment for power system based on rough set theory, fuzzy mathematics and Bayesian network(BN) is presented. Though fuzzy cluster the influencing factors of risk by using compatibles fuzzy rough set, making the minimum risk feature class as a BN node, which can effectively reduce the complexity of the BN structure, At the same time, carry on probabilistic reasoning by using BN, achieve a rapid assessment of risk, then through Anti-fuzzification, obtain the exact value of risks. Finally, examples prove that this method is practicality and effectiveness.