STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Fuzzy Integrated Network Monitoring and Perception Development of Regional Economic System
DOI: https://doi.org/10.62517/jiem.202303101
Author(s)
Saiwen Li*
Affiliation(s)
Lingnan University, Hongkong, China *Corresponding Author
Abstract
This study aims to investigate on the fuzzy integrated network monitoring and perception development of regional economic system. Since the change of some indicators in the evaluation of regional economic differences may lead to the change of the overall evaluation effect from good to bad or from bad to good, it is necessary to select the most sensitive, easy to measure and rich in connotation leading indicators among the many indicators as the evaluation indicators. According to the algorithm of fuzzy integration and fuzzy data fusion, this paper constructs a comprehensive fuzzy evaluation index system of regional economic, such as economic development scale. Based on the system, this paper studies the fuzzy integrated network monitoring and sensing method. Then, the principal component analysis method of fuzzy control is further applied. With the help of SPSS statistical software, taking the national economic development in 2021 as an example, the general method and specific steps of constructing the comprehensive evaluation index system of regional economic differences are given. The experimental results show that this method has certain reference value for the fuzzy integrated network monitoring and perception development of regional economic systems.
Keywords
Regional Economic Differences, Evaluation Indicators, Fuzzy Data Fusion, Network Monitoring, Perception
References
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