Research on urban intelligent network industry index based on entropy weight method and big data analysis

The development of intelligent automobile industry is of great significance for China's automobile industry to overtake in corners and make greater achievements. Based on this research background, firstly, 19 key cities with leading development of intelligent networked automobile industry in China are selected as evaluation subjects. Then, the (5+24) evaluation system indexes are built through the big data theory technology, that is, the evaluation methods of five first-level evaluation indexes and 24 second-level evaluation indexes. Thirdly, the entropy weight method combined with CRITIC method is used to calculate the weight of indicators. Finally, according to the scores and rankings of each city, the corresponding conclusions are given.