Abstract
Fuzzy mathematics models are widely used in the fields of computer science and other engineering. Fuzzy linear regression model as a novel regression model has effective results in research of data forecasting. In this paper, in order to analyze the freight volume prediction problem of city under the influence of various factors, triangular fuzzy linear regression model and trapezoidal fuzzy linear regression model are respectively set up to forecast the freight volume. These models combine the advantage of fuzzy mathematics and mathematical statistics methods, reflect the fuzzy relation between independent variables and dependent variables in implementing fuzzy coefficients, realize the dynamic handling freight volume, and facilitate to determine the change scope and trend of freight volume. Based on analysis of the relativity of various impact factors and fitting results of freight volume, the case example verifies that compared with other prediction methods, the average absolute relative error of fuzzy linear regression model is the least, and this model has a better applicability.
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