Optimization of Digital Economy Industry Structure Based on Big Data and Fuzzy Decision Support System
摘要
Digital economy-based industry-standard upgrades have existed since the modern era of computer and technology-based improvements. The structural modification supporting/ adapting digital economy has improved different operations in heterogeneous industries. This article introduced the Fuzzy-dependent Adaptable Economic Structural Model (FAESM) to improve the optimization and adaptability of such industrial operations. The proposed model is reliable in identifying the industrial segments that are less adaptable to digital economic standards. The identification uses operations and economic feature derivatives in each industrial quarter. The derivatives are analyzed for their maximum adaptability towards the digital economy irrespective of the financial chains. In this process, the least adaptability between different levels is expelled to provide separate suggestions/ improvements to leverage the implication of digital processes. As the process is independent of each industrial process, the suggestions for a digital economy do not impact on the connected industrial structures.