Fuzzy hybrid system based on ensemble learning for classification in intelligent manufacturing processes
A hybrid approach that combines ensemble ML models with fuzzy logic, integrating the outputs of probabilistic classifiers through a rule-based inference system that incorporates prior distributions provides a flexible and interpretable aggregation mechanism that supports both homogeneous and heterogeneous ensembles.