Generalized Gradient of Positive Adaptive-Compensation-Based for Fuzzy Hierarchical Classification
Hierarchical Takagi–Sugeno–Kang (TSK) fuzzy classifiers combine nonlinear modeling with rule-based decision structures for complex classification tasks. However, prediction errors may propagate through successive layers, and the contributions of different layers require careful consideration when combining their output...