基于非对称灰色云模型的装备维修保障系统效能评估

针对装备维修保障系统效能评估过程中决策信息的模糊性、随机性和不完备性问题，建立了非对称灰色云模型对系统效能进行评估。在分析正态灰色云模型局限性的基础上建立了非对称灰色云模型，使模型的特征值取值更加灵活；提出了基于主观和客观综合赋权法的指标权重确定方法，使指标权重综合反映主观和客观两方面的因素；通过灰色定权聚类确定了评价对象所属的灰类；结合具体算例展示了模型的应用过程，并将评估结果与分形评估算法和集对分析法的评估结果进行了比较分析。研究结果表明：非对称灰色云模型具有更强的实用性；基于非对称灰色云模型及主观和客观综合赋权法的效能评估方法适用于装备维修保障系统效能评估，且评估结果可信。

Effectiveness Evaluation of Equipment Maintenance Support System Based on Asymmetric Grey Cloud Model

For the fuzziness, randomness and incompleteness of decision information in the process of effectiveness evaluation of equipment maintenance support system, an asymmetric grey cloud model is established to evaluate the system effectiveness. On the basis of analyzing the limitations of normal grey cloud model, an asymmetric grey cloud model is established, in which the characteristic values become more flexible. A method of determining the index weight based on the subjective and objective integrated weights is proposed, so that the index weight can reflect both subjective and objective factors.The grey class of systems is determined by grey fixed weight clustering method. The application process of the proposed model is illustrated by an example, and the evaluated results are compared with those of fractal evaluation algorithm and set-pair analysis method. The research results show that the asymmetric grey cloud model is more practical than the original method. The proposed method is applicable to the effectiveness evaluation of equipment maintenance support system.