Threat Level Assessment Based on Fuzzy Bayesian Networks
Why this work is in the frame
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Bibliographic record
Abstract
Aiming at the uncertainty of Threat Level Assessment( TLA) data sources under modern complex battlefield,a fuzzy Bayesian network TLA method was proposed by integrating the fuzzy set theory into Bayesian networks. After well considering about the effect of the distance and azimuth angle of threat sources relative to a UCAV on its stealth capability,the threat level was evaluated by integrating such uncertain factors as weather,threat type,distance and azimuth angle based on randomization of uncercain knowledge. Then a TLA Bayesian network was established by adopting Netica software of the Norsys Software Company in Canada,and simulation was carried out. The simulation results show that the method can assess the threat level rapidly and accurately.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it