Call for Papers: Special Session on Fuzzy Machine Learning at FUZZ-IEEE2026

About the Special Session

Traditional machine learning approaches often struggle with real-world complexity, particularly when managing uncertainty, providing interpretable models, and ensuring robust performance in dynamic environments. Fuzzy sets, fuzzy logic, and fuzzy systems are powerful tools that effectively address these challenges by enabling flexible knowledge representation, improved interpretability, and enhanced robustness.

The fusion of machine learning and fuzzy systems has sparked substantial innovation across domains such as healthcare, intelligent transport, business intelligence, cybersecurity, and more. This special session aims to showcase cutting-edge theories, algorithms, and applications that push the boundaries of fuzzy machine learning.

Organisers

Distinguished Professor Jie Lu, University of Technology Sydney             

Dr Keqiuyin Li, University of Technology Sydney

Dr Hua Zuo, University of Technology Sydney

Professor Witold Pedrycz, University of Alberta

Associate Professor Guangquan Zhang, University of Technology Sydney