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- W4301184536 abstract "To assess threat levels of the space target, a fuzzy Dynamic Bayesian Network is used to fuse space target characteristics. Firstly, considering the fact that input information of the threat assessment model is incomplete and uncertain, motion characteristics of the space target are used to infer hidden characteristics, and these characteristics are treated as nodes of the Dynamic Bayesian Network (DBN). After defining the causal relationships of these characteristics using conditional probability tables, the DBN is constructed, and the threat level reasoning process is briefly mentioned. Then, by constructing three fuzzy membership functions, the continuous information is converted into discrete evidence information that the DBN can use. Finally, the whole threat level assessment process is given, and numerical simulations are used to verify the designed model in different scenarios. Results show the model can quantify the change of space target threat level reasonably and distinguish differences in threat levels under different scenarios." @default.
- W4301184536 created "2022-10-04" @default.
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- W4301184536 date "2022-08-19" @default.
- W4301184536 modified "2023-09-25" @default.
- W4301184536 title "Fuzzy Dynamic Bayesian Network Based Threat Assessment Model for Space Targets" @default.
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- W4301184536 doi "https://doi.org/10.1109/prai55851.2022.9904200" @default.
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