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REFERENCES

1 
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2 
R. Vavrek, ``Evaluation of the impact of selected weighting methods on the results of the TOPSIS technique,'' International Journal of Information Technology & Decision Making, vol. 18, no. 6, pp. 1821-1843, 2019.DOI
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D. D. Trung and H. X. Thinh, ``A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study,'' Advances in Production Engineering & Management, vol. 16, no. 4, pp. 443-456, 2021.DOI
4 
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M. Akram, C. Kahraman, and K. Zahid, ``Extension of TOPSIS model to the decision-making under complex spherical fuzzy information,'' Soft Computing, vol. 25, no. 16, pp. 10771-10795, 2021.DOI
6 
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14 
D. Yin, X. Li, and G. Li, ``Spatio-temporal evolution of land use transition and its eco-environmental effects: A case study of the Yellow River basin,'' Land, vol. 9, no. 12, 514, 2020.DOI
15 
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16 
M. S. AbouOmar, Y. Su, H. Zhang, B. Shi, and L. Wan, ``Observer-based interval type-2 fuzzy PID controller for PEMFC air feeding system using novel hybrid neural network algorithm-differential evolution optimizer,'' Alexandria Engineering Journal, vol. 61, no. 9, pp. 7353-7375, 2022.DOI
17 
D. Abdul and J. Wenqi, ``Evaluating appropriate communication technology for smart grid by using a comprehensive decision-making approach fuzzy TOPSIS,'' Soft Computing, vol. 26, no. 17, pp. 8521-8536, 2022.DOI
18 
M. Chavoshian, M. Taghizadeh, and M. Mazare, ``Hybrid dynamic neural network and PID control of pneumatic artificial muscle using the PSO algorithm,'' International Journal of Automation and Computing, vol. 17, no. 3, pp. 428-438, 2020.DOI
19 
J. Sun, D. Tang, H. Kong, and V. Boamah, ``Impact of industrial structure upgrading on green total factor productivity in the Yangtze River Economic Belt,'' International Journal of Environmental Research and Public Health, vol. 19, no. 6, 3718, 2022.DOI
20 
Y. Fang, B. Luo, T. Zhao, D. He, B. Jiang, and Q. Liu, ``ST-SIGMA: Spatio-temporal semantics and interaction graph aggregation for multi-agent perception and trajectory forecasting,'' CAAI Transactions on Intelligence Technology, vol. 7, no. 4, pp. 744-757, 2022.DOI
21 
M. M. Taye, ``Theoretical understanding of convolutional neural network: Concepts, architectures, applications, future directions,'' Computation, vol. 11, no. 3, 52, 2023.DOI
22 
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23 
J. Lu, S. Zhou, X. Xiao, M. Zhong, and Y. Zhao, ``The dynamic evolution of the digital economy and its impact on the urban green innovation development from the perspective of driving force - Taking China’s Yangtze River economic belt cities as an example,'' Sustainability, vol. 15, no. 8, pp. 6989-7010, 2023.DOI