基于RSR评价法的服装工业发展水平综合评价研究——以湖南省为例  

Research on Comprehensive Evaluation of the Development Level of Clothing Industry based on RSR Evaluation Method——Taking Hunan Province as an Example

作　　者：吴子恒 WU Ziheng(School of Big Data and Artificial Intelligence,Chizhou University,Chizhou 247000,China)

机构地区：[1]池州学院大数据与人工智能学院,安徽池州247000

出　　处：《鞋类工艺与设计》2024年第10期6-8,共3页SHOES TECHNOLOGY AND DESIGN

摘　　要：本文旨在构建服装产业大省湖南省服装工业发展水平综合评价体系,从而可以系统地分析湖南省各地级市服装工业发展的现状,对该省服装产业后续发展提供相关对策。利用湖南省2022年统计年鉴的相关数据通过熵权赋值的RSR模型进行综合评价,结果显示排名靠前的城市为长沙市、张家界市、郴州市,排名相对靠后的城市为益阳市、吉首市、娄底市。This article aims to construct a comprehensive evaluation system for the development level of the clothing industry in Hunan province,a major province in the clothing industry.It can systematically analyze the current situation of the clothing industry development in various cities in Hunan province and provide relevant countermeasures for the subsequent development of the clothing industry in the province.Using the relevant data from the 2022 statistical yearbook of Hunan province,a comprehensive evaluation was conducted using the entropy weighted RSR model.The results showed that the top ranked cities were Changsha,Zhangjiajie,and Chenzhou,while the relatively lower ranked cities were Yiyang,Jishou,and Loudi.

关 键 词：RSR 综合评价 熵权赋值 

分 类 号：F259.2[经济管理—国民经济]