A comparative study of simulink fuzzy inference system time series method and traditional time series methods for forecasting the air quality index
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1140/epjs/s11734-024-01220-4.pdf
Reference24 articles.
1. Rohit Sharma et al., Inferring air pollution from air quality index by different geographical areas: case study in India. Air Quality Atmosp Health 12, 1347–1357 (2022)
2. E. Borroni, A.C. Pesatori, V. Bollati, M. Buoli, M. Carugno, Air pollution exposure and depression: a comprehensive updated systematic review and meta-analysis. Environ. Pollut. 292, 118245 (2022)
3. J.K. Peckol, Introduction to fuzzy logic (John Wiley & Sons, 2021)
4. Lin T.-Y., Liau C.-J., Kacprzyk J., eds. Granular, Fuzzy, and Soft Computing. Springer Nature (2023)
5. J. Carter, F. Chiclana, A.S. Khuman, T. Chen, (Eds.). Fuzzy Logic: Recent Applications and Developments (2021)
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