Application of the multi-objective model under the fuzzy differential equation to logistics operation of internet of things. (15th May 2023)

• Record Type: Journal Article
• Authors: Liu, Shihui
• Is Part Of: International journal of grid and utility computing. Volume 14:Number 2/3(2023)
• Page Start: 205
• Page End: 215
• Publication Date: 2023-05-15
• Subjects: internet of things -- fuzzy differential equation -- multi-objective model -- e-commerce -- logistics; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

This paper aims to explore the application of the Multi-Objective Model (MOM) in the logistics operation of an e-commerce platform. E-commerce is a new business model, and people are studying the use of various technologies to optimise its operation mode. On this basis, the logistics operation on the e-commerce platform is studied by using the method of moments based on deep learning, Fuzzy Differential Equations (FDEs) and the Internet of Things. On the ImageNet data set, the parameter initialisation of the network is trained and detected. The initial learning rate of the network is 0.0003, and 45, 000 iterations are needed to reduce the learning rate. The convergence and stability of FDEs are of great significance for the accuracy of data on e-commerce platforms. The results show that the correlation between web page accessibility and revenue on the e-commerce platform is 0.011, and this data acquisition is based on traditional methods.