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针对传统逼近理想解法(TOPSIS)贴近度计算方法单一且未考虑指标之间相关性的缺点,将灰色关联度与广义马式距离相结合提出了一种改进的TOPSIS方法.该方法既弥补了因属性指标之间的相关性而导致欧式距离失效的不足,又反映了动力系统与正负理想方案之间的位置关系和数据曲线的相似性差异.最后,通过在航空动力系统质量评估中的应用验证了该方法的合理性与有效性.
Aiming at the shortcomings that the method of calculating the close degree of traditional approximate ideal method (TOPSIS) is single and does not consider the correlation between the indexes, an improved TOPSIS method is proposed by combining the gray relational degree and the generalized horse range. The correlation between attribute indexes leads to the failure of Euclidean distance, and also reflects the similarities and differences between the power system and the positive and negative ideal solutions.Finally, through the application in the quality assessment of aerodynamic system The rationality and effectiveness of the method are verified.