| Title | Introducing Artificial/Computational Intelligence-Derived Non-Parametric Transfer Functions for the Implementation of Dynamic Circular Economy Decision-Making Systems |
|---|---|
| ID_Doc | 2961 |
| Authors | Yu, MH; Zheng, JJ |
| Title | Introducing Artificial/Computational Intelligence-Derived Non-Parametric Transfer Functions for the Implementation of Dynamic Circular Economy Decision-Making Systems |
| Year | 2023 |
| Published | Electronics, 12, 4 |
| Abstract | With the development of science and technology, resource consumption has increasingly become a social problem. The circular economy is an economic form of a comprehensive utilization of resources. At present, China's circular economy industry has begun to develop towards intensification, scale and specialization. With the deepening of research on the value of a comprehensive utilization of resources, the traditional economic field has undergone tremendous changes. According to the current situation of circular economy industry, an intelligent decision-making system is designed using artificial intelligence technology. Empirically, using the circular economy model and combining the sequence parameters to determine the sequence parameter indicators of the scientific and technological innovation subsystem and the energy saving and emission reduction subsystem, the correlation analysis of each indicator is carried out, and the order degree of the two subsystems is obtained respectively, so as to obtain for the enterprise the degree of synergy of the evolution system of the circular economy synergy of industries and industrial clusters. After repeated exploratory tests, it is found that the calculation has achieved over 98% of the precision of an astute direction, and has specific use and value because of the enormous number of preparing modes and trial dependability. Making a specific commitment to the circular economy is a trusted and logical solution. |
Similar Articles
| ID | Score | Article |
|---|---|---|
2005
|
Zheng, JL; Zheng, C; Chen, P; Luk, CY An Evaluation Model for the Coordinated Development of a Circular Economy in China and Its Application to Energy-intensive Industries(2014)Frontiers Of Engineering Management, 1, 4 | |
| 1196
|
Dinçer, H; Yüksel, S; Hacioglu, U; Erdebilli, B Multidimensional Analysis of Investment Priorities for Circular Economy with Quantum Spherical Fuzzy Hybrid Modeling(2024) | |
| 4160
|
Rossi, J; Bianchini, A; Guarnieri, P Circular Economy Model Enhanced by Intelligent Assets from Industry 4.0: The Proposition of an Innovative Tool to Analyze Case Studies(2020)Sustainability, 12, 17 | |
| 303
|
Iakovenko, V; Pavlov, R; Pavlova, T; Levkovich, O Transformational Opportunities for Business Entities in the Circular Economy(2023) | |
| 2905
|
Zhu, FY; Lai, LR; Zhu, ZD; Zhang, XJ A study on the path of improving the performance of China's provincial circular economy-An empirical study based on the fsQCA method(2022) | |
| 28938
|
Niu, XQ; Yüksel, S; Dinçer, H Emission strategy selection for the circular economy-based production investments with the enhanced decision support system(2023) | |
| 4063
|
Tang, JH; Tong, MH; Sun, YH; Du, JT; Liu, NN A spatio-temporal perspective of China's industrial circular economy development(2020) | |
| 316
|
Zhang, J; Wang, N; Hong, J Comprehensive Evaluation on the Development of Industry Cluster Circular Economy(2013) |