Fuzzy Regression Prediction and Application Based on Multi-Dimensional Factors of Freight Volume

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Xiao, Mengting^1 ; Li, Cheng^1

School of Air Transportation/Flying, Shanghai University of Engineering Science, Shanghai

201620, China^1

关键词: Analogy method;    Cargo volume;    Five-year plans;    Freight volumes;    Fuzzy numbers;    Fuzzy regressions;    Multi dimensional;    Multiple regression methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/3/032071/pdf
DOI  :  10.1088/1755-1315/108/3/032071

来源: IOP

【 摘 要 】

Based on the reality of the development of air cargo, the multi-dimensional fuzzy regression method is used to determine the influencing factors, and the three most important influencing factors of GDP, total fixed assets investment and regular flight route mileage are determined. The system's viewpoints and analogy methods, the use of fuzzy numbers and multiple regression methods to predict the civil aviation cargo volume. In comparison with the 13th Five-Year Plan for China's Civil Aviation Development (2016-2020), it is proved that this method can effectively improve the accuracy of forecasting and reduce the risk of forecasting. It is proved that this model predicts civil aviation freight volume of the feasibility, has a high practical significance and practical operation.