Title :
Survivability assessment for command automation system based on Bayesian networks
Author :
He, Xinhua ; Hu, Rulin ; Zhao, Yingkun
Author_Institution :
Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
To solve uncertainty and ambiguity of survivability assessment information of command automation system, this paper proposes one novel way of applying Bayesian networks to evaluate command automation system survivability. It establishes the Bayesian network model and gives the reasoning method based on Bays for command automation system survivability assessment. Finally the validity of the method is verified by an example.
Keywords :
belief networks; command and control systems; inference mechanisms; reliability; Bayesian network; command automation system; reasoning method; survivability assessment; uncertainty handling; Automation; Bayesian methods; Fires; Hardware; MATLAB; Weapons; bayesian networks; command automation system; survivability assessment;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620327
