OICC Press Mathematical Sciences 2251-7456 20 3 2026 09 30 Hybrid Fuzzy Regression: Performance Comparison of Symmetric and Asymmetric Triangular Fuzzy Data 10.57647/mathsci.2026.2003.17 EN Reza Hozni Department of Statistics, SR. C., Islamic Azad University, Tehran, Iran Behrouz Fathi Vajargah Department of Statistics, University of Guilan, Rasht, Iran Mohamad Hassan Behzadi Department of Statistics, SR. C., Islamic Azad University, Tehran, Iran Mojtaba Moradi Department of Industrial Engineering, Faculty of East of Guilan, University of Guilan,Vajargah, Iran Journal Article 2026 09 30 This paper presents a comprehensive comparison between symmetrical and asymmetrical triangular fuzzy data within hybrid bivariate regression models, evaluating their performance through reliability measures and uncertainty quantification. Our study demonstrates that hybrid least squares fuzzy regression not only gener-alizes classical regression but also provides superior reliability metrics, with classical measures emerging as a special case of hybrid measures emerging as a special case of hybrid reliability under precise conditions.