基于熵权TOPSIS法的浙江省大数据发展水平评价

Evaluation of the Development Level of Big Datain Zhejiang Province Based on Entropy Weighted TOPSIS Method

从基础资源、创新能力、产业发展、行业应用、综合保障5个方面构建浙江省大数据发展水平评价指标体系,利用熵权TOPSIS法对2015-2021年浙江省各地市的大数据发展水平进行实证测度,并利用2021年的数据对各市进行聚类分析.结果表明,杭州市大数据发展水平最高,宁波市发展水平较高,金华市、温州市、嘉兴市、绍兴市、湖州市、台州市大数据发展水平中等,舟山市、衢州市、丽水市大数据发展水平欠佳.最后根据实证结果提出相应的对策建议.

This study constructs an evaluation index system for the development level of big data in Zhejiang Province from five aspects:basic resources,innovation ability,industrial development,industry application,and comprehensive security.The entropy weighted TOPSIS method is used to empirically measure the development level of big data in various cities in Zhejiang Province from 2015 to 2021,and cluster analysis is conducted on each city using data from 2021.The results indicate that Hangzhou has the highest level of big data development,while Ningbo has a relatively high level.Jinhua,Wenzhou,Jiaxing,Shaoxing,Huzhou,and Taizhou have a moderate level of big data development,while Zhoushan,Quzhou,and Lishui have poor levels of big data development.Finally,based on the empirical results,this study proposes corresponding countermeasures and suggestions.