Situation assessment for beyond-visual-range air combat situation assessment based on dynamic Bayesian network

Author(s):  
Li Fu ◽  
Jianbo Liu ◽  
Feihu Chang ◽  
Guanglei Meng
2011 ◽  
Vol 69 ◽  
pp. 114-119 ◽  
Author(s):  
Yong Bo Xuan ◽  
Chang Qiang Huang ◽  
Wang Xi Li

Automatic and accurate situation assessment is essential for aircraft to conduct and maintain operations autonomously and effectively. There are many uncertainties during the process of air combat situation assessment which have a significant influence on operational decision making. For the uncertainty of advanced aircraft in air combat Situation assessment, with the uncertainty knowledge representation of gray fuzzy theory and uncertainty reasoning of Bayesian network, the fuzzy information can change into the probability of domain knowledge through fuzzy probability conversion formula, A gray fuzzy Bayesian network model for situation assessment of air combat is established, the simulation results shows that the model is reasonable and feasible.


2012 ◽  
Vol 29 ◽  
pp. 339-343 ◽  
Author(s):  
Zhou Siyu ◽  
Wu Wenhai ◽  
Zhou Shengming ◽  
Qu Zhigang

2019 ◽  
Vol 154 ◽  
pp. 238-248 ◽  
Author(s):  
Lin Wang ◽  
Hai Yan Yang ◽  
Shuai Wen Zhang ◽  
Hai Huang ◽  
Jun Zhou

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