Tree–Hillclimb Search: An Efficient and Interpretable Threat Assessment Method for Uncertain Battlefield Environments

In uncertain battlefield environments, rapid and accurate detection, identification of hostile targets, and assessment of threat levels are crucial for supporting effective decision-making. Despite offering the advantage of structural transparency, traditional analytical methods rely on expert knowl...

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Библиографические подробности

Главные авторы:	Zuoxin Zeng, Jinye Peng, Qi Feng
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-09-01
Серии:	Entropy
Предметы:	Bayesian networks uncertain battlefield environment threat assessment expert knowledge structure learning sensitivity analysis
Online-ссылка:	https://www.mdpi.com/1099-4300/27/9/987
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