American Psychological Association 6th edition

Salamah, B., Zarei, R., Mehrdoust, F., & Akbari, M. G. (2026). Quantile-Based Fuzzy Semi-Parametric Support Vector Regression Model Based on Autoregressive Fuzzy Terms: An Estimation Approach. https://doi.org/10.71602/tfss.2026.1202291

ISO-690 (author-date, English)

SALAMAH, Batoul, ZAREI, Reza, MEHRDOUST, Farshid and AKBARI, Mohammad Ghasem, 2026. Quantile-Based Fuzzy Semi-Parametric Support Vector Regression Model Based on Autoregressive Fuzzy Terms: An Estimation Approach. . 1 January 2026. DOI 10.71602/tfss.2026.1202291.

Modern Language Association 9th edition

Salamah, B., R. Zarei, F. Mehrdoust, and M. G. Akbari. Quantile-Based Fuzzy Semi-Parametric Support Vector Regression Model Based on Autoregressive Fuzzy Terms: An Estimation Approach. Jan. 2026, https://doi.org/10.71602/tfss.2026.1202291.

Mohr Siebeck - Recht (Deutsch - Österreich)

Salamah, Batoul/Zarei, Reza/Mehrdoust, Farshid/Akbari, Mohammad Ghasem: Quantile-Based Fuzzy Semi-Parametric Support Vector Regression Model Based on Autoregressive Fuzzy Terms: An Estimation Approach, 2026,

Emerald - Harvard

Salamah, B., Zarei, R., Mehrdoust, F. and Akbari, M.G. (2026), “Quantile-Based Fuzzy Semi-Parametric Support Vector Regression Model Based on Autoregressive Fuzzy Terms: An Estimation Approach”, available at:https://doi.org/10.71602/tfss.2026.1202291.

Warning: These citations may not always be 100% accurate.