IT2ANFIS with Dual Uncertainty in Membership Function: A Gradient-Based Learning Approach
Modeling under uncertainty remains a fundamental challenge in engineering and nonlinear system identification, particularly when both interpretability and computational efficiency are required. Interval type-2 adaptive neuro-fuzzy inference systems (IT2ANFIS) have demonstrated strong capabilities in handling uncertaint...