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Overview of Research on Assessment Model of Radiant Threat Rank Based on Dynamic Bayesian Network

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3 Author(s)
Zheng Tang ; Northwestern Polytech. Univ., Xi''an ; Xiao-guang Gao ; Ying Zhang

Evaluating radiant threat rank is an important part of situation assessment and attack decision. All factors which would affect the assessment are analyzed. The advantages of experts system based on dynamic Bayesian network are given. After that, the theoretical model and its algorithm based on dynamic Bayesian network are presented and discussed. Finally, the model is established and simulated according to the algorithm. The simulation results are discussed and the model shows that it is effective and it can reflect the real threat rank.

Published in:

Automation and Logistics, 2007 IEEE International Conference on

Date of Conference:

18-21 Aug. 2007