Title :
Target damage rank assessment based on Dynamic Bayesian Network
Author :
Huang, Yanyan ; Li, Hang ; Ji, Weiwei
Author_Institution :
Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
Target damage rank assessment (TDR) is an important part of the direction decision-making for the C3I system, and the fast and effective damage assessment for the target is the main basis for judging the necessity of continuous target attacking. A method of the target damage rank assessment based on the Dynamic Bayesian Network (DBN) is used to evaluate the operational situation in this paper. As an example, the operational weapon equipment is analyzed by this method, and the results show the method feasible.
Keywords :
belief networks; command and control systems; weapons; C3I system; direction decision-making; dynamic Bayesian network; operational weapon equipment; target damage rank assessment; Automation; Bayesian methods; Decision making; Inference algorithms; Modeling; Network topology; Probes; Reconnaissance; Uncertainty; Weapons; Characteristic Parameter; Dynamic Bayesian Network; Target Damage Rank Assessment; simulation;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498510
