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针对高射机枪高速自动机多指标、多层次综合评估问题,提出了一种利用主元分析法与改进模糊层次分析法计算指标组合权值,并通过灰色评估原理进行组合评估的方法。确定高速自动机指标体系后利用主元分析法对某8种型号高速自动机各指标属性值原始数据进行降维并确定客观权重,采用改进模糊层次分析法确定主观权重,并进行组合权重计算,最后结合灰色评估矩阵得到各型号高速自动机性能评估结果。避免了传统灰评估主观性太强的弊端。评估结果与实际使用表现相符,为高速自动机性能评估提出了新方法。
Aiming at the problem of multi-index and multi-level comprehensive evaluation of high-speed automatic machine with high-speed machine gun, this paper proposes a method to calculate the weight of index combination by using principal component analysis and improved fuzzy analytic hierarchy process. After determining the index system of high-speed automaton, the principal component analysis (PCA) was used to reduce the dimensionality of the original data of each index attribute value of certain eight models of high-speed automata and determine the objective weights. The improved fuzzy analytic hierarchy process was used to determine the subjective weights and the combined weights were calculated. Finally, combined with the gray evaluation matrix to get the model of high speed automatic machine performance evaluation results. Avoid the disadvantages of the subjectivity of traditional gray assessment. The assessment results are in line with the actual performance, and a new method is proposed for the performance evaluation of high-speed automata.