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| 基于模糊贝叶斯网络的态势威胁评估模型 | |
| 引用本文： | 康长青,郭立红,罗艳春,王心醉.基于模糊贝叶斯网络的态势威胁评估模型[J].光电工程,2008,35(5):1-5. |
| 作者姓名： | 康长青 郭立红 罗艳春 王心醉 |
| 作者单位： | 1. 中国科学院长春光学精密机械与物理研究所,长春,130033;中国科学院研究生院,北京,100039 2. 中国科学院长春光学精密机械与物理研究所,长春,130033 3. 中国科学院长春光学精密机械与物理研究所,长春,130033;中国科学院研究生院,北京,100039;空军航空大学,长春,130022 |
| 摘 要： | 针对传感器测量数据的不确定性,提出基于模糊贝叶斯网络的态势威胁评估模型,该模型首先将不确定性数据分为模糊域和概率域两大类,然后在模糊域使用模糊综合评判得到威胁目标的动态威胁度,接着运用可能性概率转换理论将模糊表示的动态威胁度转化成概率域知识,最后在概率知识域使用贝叶斯网络推理算法得到目标的威胁等级.实例计算表明,该方法能够较好的反映威胁源的威胁等级,为武器系统选择跟踪打击目标提供决策依据,具有一定的实用性. |
| 关 键 词： | 态势评估 威胁评估 模糊综合评判 贝叶斯网络 基于模糊 贝叶斯网络 威胁评估模型 Bayesian Network Fuzzy Based Threat Assessment Situation 决策依据 打击目标 选择跟踪 武器系统 方法 计算表 威胁等级 推理算法 知识域 域知识 转化 模糊表示 |
| 文章编号： | 1003-501X(2008)05-0001-05 |
| 收稿时间： | 2007/8/20 |
| 修稿时间： | 2007年8月20日 |
Model of Situation and Threat Assessment Based on Fuzzy Bayesian Network |
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| KANG Chang-qing,GUO Li-hong,LUO Yan-chun,WANG Xin-zui.Model of Situation and Threat Assessment Based on Fuzzy Bayesian Network[J].Opto-Electronic Engineering,2008,35(5):1-5. | |
| Authors: | KANG Chang-qing GUO Li-hong LUO Yan-chun WANG Xin-zui |
| Affiliation: | KANG Chang-qing1,2,GUO Li-hong1,LUO Yan-chun1,3,WANG Xin-zui1,2 ( 1. Changchun Institute of Optics,Fine Mechanics , Physics,Chinese Academy of Sciences,Changchun 130033,China,2. Graduate School of Chinese Academy of Sciences,Beijing 100039,3. Aviation University of Air Force,Changchun 130022,China ) |
| Abstract: | To process uncertain data obtained in sensors,a model of Situation and Threat Assessment (STA) based on fuzzy Bayesian network was proposed. The uncertain sensor data were divided into vagueness domain and probability domain. The vague data type of the threat target was handled by fuzzy comprehensive evaluation,and the dynamic threat degree was obtained in fuzzy domain. And then the fuzzy dynamic threat degree was translated into the probabilistic type by the possibility/probability theory. All the uncertai... |
| Keywords: | situation assessment threat assessment fuzzy comprehensive evaluation Bayesian network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |