Ordenshiya, K., & Revathi, G. (2025). A comparative study of traditional machine learning and hybrid fuzzy inference system machine learning models for air quality index forecasting. International Journal of Data Science and Analytics, 20(5), 4321-4342. https://doi.org/10.1007/s41060-025-00720-3

ORDENSHIYA, KM und REVATHI, GK, 2025. A comparative study of traditional machine learning and hybrid fuzzy inference system machine learning models for air quality index forecasting. International Journal of Data Science and Analytics. 1 Oktober 2025. Vol. 20, no. 5, p. 4321-4342. DOI 10.1007/s41060-025-00720-3.

Ordenshiya, K., und G. Revathi. „A Comparative Study of Traditional Machine Learning and Hybrid Fuzzy Inference System Machine Learning Models for Air Quality Index Forecasting“. International Journal of Data Science and Analytics, Bd. 20, Nr. 5, Oktober 2025, S. 4321-42, https://doi.org/10.1007/s41060-025-00720-3.

Ordenshiya, KM/Revathi, GK: A comparative study of traditional machine learning and hybrid fuzzy inference system machine learning models for air quality index forecasting, International Journal of Data Science and Analytics 2025, 4321-4342.

Ordenshiya, K. und Revathi, G. (2025), „A comparative study of traditional machine learning and hybrid fuzzy inference system machine learning models for air quality index forecasting“, International Journal of Data Science and Analytics, Vol. 20 No. 5, S. 4321-4342.