Importance Analysis on Components in Railway Rolling Stock Based on Fuzzy Weighted Logarithmic Least Square Method
Aiming at the problems that the components in railway rolling stock are complex, highly correlated and difficult to make importance evaluation by traditional method, the importance evaluation index of components in railway rolling stock is established on the basis of the decision of the main factors which influence the importance. A model based on the triangular fuzzy number (TFN) weighted logarithmic least square method is given and corresponding evaluation process is described. The weight of the main factors is determined and the importance analysis on components in railway rolling stock is done with the importance evaluation index. The result indicates that the model can synthesize expert group opinions adequately and combine subjective analysis with quantitative analysis effectively. The calculation program for common use has been developed. It is shown by the instance that this method is convenient and effective. Based on the research the proposed method is given for deciding the concrete maintenance mode according to the components importance.
triangular fuzzy number (TFN) least square method importance analysis influencing factor
WANG Lingzhi XU Yugong ZHANG Jiadong
School of Mechanical, Electronic and Control Engineering Beijing Jiaotong University Beijing, China
国际会议
厦门
英文
175-179
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）