Research on Sales Strategy of Electric Vehicles based on Logical Regression and TOPSIS Model

Abstract

The development of new energy vehicles represented by electric vehicles has a broad market prospect and is an effective way to solve energy and environmental problems. In this paper, outliers are obtained according to the range of scores, variance, population, and economic situation, and they are regarded as missing data or deleted directly, and then the missing outliers are obtained by using the average method. Then, it is used SPSS to count each index of each kind of data, describe each kind of data, get the sample statistics of each index, and finally calculate the normalized scores of the three brands and the satisfaction ranking of the target customers through the TOPSIS evaluation method. Then the data a1~a8 and B1~B17 are discussed, respectively. Firstly, the oversampling method is used to equalize the samples, then the continuous features are discretized, and then the logical regression model is used to eliminate the features to get the final results.