基于改进PCA 法的合成分队目标威胁评估

为准确合理地评估合成分队目标威胁大小，提出一种基于改进主成分分析法(principal component analysis， PCA)的合成分队目标威胁评估方法。结合合成分队作战实际和战场态势动态变化的影响，构建评估指标体系，利用 三角模糊层次分析法求出各指标相对权重，建立改进的PCA 威胁评估模型，对各主成分系数进行加权改进，并通过 实例证明了其有效性。实例分析结果表明：该方法与实际相符，可为合成分队威胁评估提供参考。

Target Threat Assessment of Synthetic Unit Based on Improved PCA Method

In order to accurately and reasonably evaluate the target threat of synthetic unit, a target threat assessment method of synthetic unit based on improved principal component analysis (PCA) is proposed. Combined with the actual combat situation of synthetic unit and the influence of dynamic change of battlefield situation, the evaluation index system is constructed. Using triangular fuzzy analytic hierarchy process to calculate the relative weight of each index, an improved PCA threat assessment model is established, and the principal component coefficients are improved by weighting. The effectiveness of the model is proved by the example, and the results show that the method is consistent with the actual situation and can provide reference for threat assessment of synthetic unit.