摘要
采用熵权和TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)理想解法相结合建立基于多参数的发动机性能排队模型,根据相关参数中蕴含的客观信息来评判发动机的性能优劣。由熵权法确定发动机性能参数的客观权重值,采用TOPSIS法对发动机进行排队。最后以某航空公司9台PW4056发动机数据对模型进行验证,结果显示模型排队结果与发动机性能工程师给出的排队结果基本一致。
In this paper,a combination of entropy and TOPSIS method is used to build a multi-parameter areo-engine performance ranking model,the evaluation only relies on the information contained in the relevant parameters.The weight values of engine performance parameters are determined using entropy method,and the engines are ranked by TOPSIS method.Finally,the ranking result of this model is proved to be effective.
出处
《机械工程与自动化》
2016年第6期153-154,共2页
Mechanical Engineering & Automation
