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 引用本文: 范翔宇, 王红卫, 索中英, 等 . 基于粗糙集-信息熵的辐射源威胁评估方法[J]. 北京航空航天大学学报, 2016, 42(8): 1755-1761.
FAN Xiangyu, WANG Hongwei, SUO Zhongying, et al. Radiator threat evaluating method based on rough set and information entropy[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(8): 1755-1761. doi: 10.13700/j.bh.1001-5965.2015.0663(in Chinese)
 Citation: FAN Xiangyu, WANG Hongwei, SUO Zhongying, et al. Radiator threat evaluating method based on rough set and information entropy[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(8): 1755-1761. (in Chinese)

• 中图分类号: TN97

Radiator threat evaluating method based on rough set and information entropy

• 摘要: 为满足复杂电磁环境下战机对辐射源威胁等级判定算法的需求，将粗糙集理论引入对雷达辐射源威胁评估中，并结合信息熵理论构建一套完备的计算威胁度量值的数据处理模型，实现对辐射源威胁程度的定量表示，直观地评估辐射源的威胁程度。经典粗糙集理论难以应对在没有决策信息条件下的决策问题，采用信息熵的方法求取最大权重属性替代决策属性，拓展粗糙集的适用范围。模型直接基于数据驱动得到辐射源的威胁度量值，易于实现并具备良好的时效性，减少系统对先验信息的要求与主观赋值带来的影响。仿真结果表明,该方法可以快速、准确地实现对辐射源威胁的评估。

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出版历程
• 收稿日期:  2015-10-14
• 刊出日期:  2016-08-20

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