| Issue |
E3S Web Conf.
Volume 251, 2021
2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 6 | |
| Section | Analysis of Energy Industry Economy and Consumption Structure Model | |
| DOI | https://doi.org/10.1051/e3sconf/202125101010 | |
| Published online | 15 April 2021 | |
Quantitative evaluation of industrial and commercial management’s promotion to economic growth based on hierarchical constraints
Huali College Guangdong University of Technology, 511325, Zengcheng, Guangzhou, China
* Corresponding author: l13503021155@163.com
In order to improve the quantitative evaluation ability of industrial and commercial management on promoting economic growth, the design method of quantitative evaluation model of industrial and commercial management on promoting economic growth based on hierarchical constraints is proposed. the descriptive statistical analysis method to realize big data fusion mining for quantitative evaluation of business administration’s promotion to economic growth is used, and a hierarchical constraint parameter analysis model to realize node deployment model design of hierarchical constraint parameter analysis model is designed, fuzzy control and adaptive feature parameter identification are realized in the process of quantitative evaluation of industrial and commercial administration’s promotion to economic growth. Convergence control is realized in the process of quantitative evaluation based on pattern recognition and association distributed fusion. Fuzzy degree identification and optimization prediction of quantitative evaluation of industrial and commercial administration’s promotion to economic growth are realized in hierarchical constraint parameter analysis model. The simulation results show that the output accuracy and system stability of the quantitative evaluation of the promotion of business administration to economic growth are good.
© The Authors, published by EDP Sciences, 2021
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