Situation Assessment Based on Junction Tree Relevance Reasoning

ZHANG Haisheng; MIAO Channa

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Situation Assessment Based on Junction Tree Relevance Reasoning

更新时间：2026-09-04

- Situation Assessment Based on Junction Tree Relevance Reasoning
- Vol. 30, Issue 9, Pages: 26-29(2013)
- 作者机构：
  
  1. 清华大学计算机科学与技术系,北京,100084
  2. 清华大学软件学院,北京,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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张海生, 缪婵娜. 面向战场态势评估的联合树相关推理[J]. 微电子学与计算机, 2013, 30(9): 26-29.

ZHANG Haisheng, MIAO Channa. Situation Assessment Based on Junction Tree Relevance Reasoning[J]. 2013, 30(9): 26-29.
张海生, 缪婵娜. 面向战场态势评估的联合树相关推理[J]. 微电子学与计算机, 2013, 30(9): 26-29. DOI：

ZHANG Haisheng, MIAO Channa. Situation Assessment Based on Junction Tree Relevance Reasoning[J]. 2013, 30(9): 26-29. DOI：

摘要

本文首先从战场态势与事件间的因果关系出发，构建了用于态势评估的贝叶斯网络推理模型;分析了联合树算法在态势评估中所存在的问题，结合基于D分离的相关推理在模型结构挖掘方面的特性，提出了一种联合树相关推理方法;最后，通过实验验证了该方法的有效性和准确性，为态势评估下的精确推理提供了一种有效的解决方案。

Abstract

In this paper

first a Bayesian network reasoning model for situation assessment is built according to the causal link between the battlefield situation and events. Then a problem occurred when applying junction tree algorithm to situation assessment is analyzed.Combining with the characteristics of relevance reasoning based D -Separation in model structure mining

a junction tree relevance reasoning method is proposed.Finally

the validity and accuracy of the method is verified by experiment

providing an effective solution of precise reasoning under situation assessment.

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