The internationalization of the digital economy is an important part of the development stage of the digital economy. How to improve the internationalization level of the digital economy, promote the international competitiveness of digital enterprises, and accelerate the pace of digital enterprises “going out” has become the current digital economy research field problem that needs to be solved urgently. Aiming at the current deficiencies in the development of the digital economy, this paper combines edge computing and fuzzy clustering technology to carry out research on digital economy and human resources. First of all, through the clustering analysis of the factors of digital economy and human resources, the weight of each factor is obtained. Secondly, edge computing technology is used in the architectural design of digital economy and human resources research. Finally, the simulation test analysis verifies the efficiency of the digital economy and human resources architecture based on fuzzy clustering and edge computing established in this paper. The research is helpful for the development of the analysis of digital economy and human resources.

中文翻译：

---

基于模糊聚类和边缘计算的数字经济与人力资源研究

数字经济的国际化是数字经济发展阶段的重要组成部分。如何提高数字经济的国际化水平，提高数字企业的国际竞争力，加快数字企业“走出去”的步伐，已经成为当前数字经济研究领域亟待解决的问题。针对当前数字经济发展的不足，结合边缘计算和模糊聚类技术对数字经济和人力资源进行了研究。首先，通过对数字经济和人力资源因素的聚类分析，得出各个因素的权重。其次，边缘计算技术被用于数字经济和人力资源研究的建筑设计中。最后，仿真测试分析基于本文建立的模糊聚类和边缘计算，验证了数字经济和人力资源架构的效率。该研究有助于数字经济和人力资源分析的发展。