The optimization of digital currency electronic payment in RMB based on big data and fuzzy theory

Yuan, Luo, Su, Chang, Fang, Bo, Meng, Yunfan, Wang, Xinyang and Gao, Wenyou (2023) The optimization of digital currency electronic payment in RMB based on big data and fuzzy theory. Journal of Global Information Management, 31 (9). pp. 1-18. ISSN 1062-7375

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Abstract

Supply chain management is a key component of the Electronic-China Yuan (e-CNY) infrastructure and is crucial to developing and using e-CNY. This paper first provides an overview of the features of e-CNY and the idea of incorporating supply chain management into the creation of e-CNY software to better meet user payment requirements. This will help to reinforce the CNY's dominant position in the global monetary system. Meanwhile, this paper uses the fuzzy theory evaluation method to assess the software supply chain management informatization level. More broadly, this paper discusses the development level of digital enterprise supply chain management informatization to understand the current situation of e-CNY software supply chain management. The network's energy usage will increase when e-CNY software is developed. This research suggests a routing protocol based on the combination of chaotic particle swarm optimization (CPSO) and ant colony algorithm (ACA). It employs a new CPSO algorithm to optimize the cluster head selection.

Item Type:	Article
Official URL:	https://www.igi-global.com/gateway/journal/1070
Additional Information:	© 2023 The Authors
Divisions:	LSE
Subjects:	H Social Sciences > HG Finance
Date Deposited:	28 May 2024 09:09
Last Modified:	21 Nov 2024 02:30
URI:	http://eprints.lse.ac.uk/id/eprint/123657

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