Research of Air Combat Situation Assessment Method

2012 ◽  
Author(s):  
Fu Li ◽  
Chang Feihu ◽  
Xu Jin ◽  
Zhou Yuandong
Keyword(s):  
Assessment Method ◽  
Situation Assessment ◽  
Air Combat

Air Combat Situation Assessment by Gray Fuzzy Bayesian Network

2011 ◽  
Vol 69 ◽  
pp. 114-119 ◽  
Author(s):  
Yong Bo Xuan ◽  
Chang Qiang Huang ◽  
Wang Xi Li
Keyword(s):  
Bayesian Network ◽  
Domain Knowledge ◽  
Fuzzy Theory ◽  
Fuzzy Probability ◽  
Fuzzy Information ◽  
Bayesian Network Model ◽  
Uncertainty Reasoning ◽  
Situation Assessment ◽  
Air Combat ◽  
Operational Decision Making

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.

scholarly journals Research on Network Threat and Situation Assessment Method of Electric Power Information System

2021 ◽  
Vol 1883 (1) ◽  
pp. 012105
Author(s):  
Yunhui Liang ◽  
Linghao Zhang ◽  
Sheng Wang ◽  
Jie Zhang ◽  
Juling Zhang ◽  
...  
Keyword(s):  
Information System ◽  
Electric Power ◽  
Assessment Method ◽  
Situation Assessment

scholarly journals A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy

Entropy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 495 ◽  
Author(s):  
Ying Zhou ◽  
Yongchuan Tang ◽  
Xiaozhe Zhao
Keyword(s):  
Information Fusion ◽  
Evidence Theory ◽  
Uncertainty Management ◽  
Management Approach ◽  
Uncertain Information ◽  
Improved Method ◽  
Situation Assessment ◽  
Air Combat ◽  
Belief Entropy ◽  
Dempster’S Rule Of Combination

Uncertain information exists in each procedure of an air combat situation assessment. To address this issue, this paper proposes an improved method to address the uncertain information fusion of air combat situation assessment in the Dempster–Shafer evidence theory (DST) framework. A better fusion result regarding the prediction of military intention can be helpful for decision-making in an air combat situation. To obtain a more accurate fusion result of situation assessment, an improved belief entropy (IBE) is applied to preprocess the uncertainty of situation assessment information. Data fusion of assessment information after preprocessing will be based on the classical Dempster’s rule of combination. The illustrative example result validates the rationality and the effectiveness of the proposed method.

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