Application of improved AHP and grey relational analysis in the analysis of international competitiveness of China’s new energy vehicle industry

Abstract In order to improve the analysis effect of the international competitiveness of China’s new energy vehicle industry, this paper combines the improved AHP and grey relational analysis method to analyze the international competitiveness of China’s new energy vehicle industry. This paper uses the quantitative information analysis algorithm of new energy vehicle competitiveness to process the signal data of China’s new energy vehicle industry’s international competitiveness. Moreover, this paper collects data through various channels, and applies the improved AHP and grey relational analysis to the analysis of the international competitiveness of China’s new energy vehicle industry. In addition, this paper proposes an improved SP & SPWVD combined time-frequency distribution algorithm. It combines the long-window short-time Fourier transform (STFT) with better frequency resolution and the short-window STFT with better time resolution to obtain a combined window spectrogram with better time-frequency aggregation. The research results show that when the improved AHP and grey relational analysis method are used in the analysis of the international competitiveness of China’s new energy vehicle industry, the analysis effect of the international competitiveness of China’s new energy vehicle industry can be effectively improved.