I will create a collection of models for multi-class classification, ordinal classification and regression, based on a hierarchical rule-based system with local areas of higher granularity where the granules will be learned from the data using similarity learning and granular approximation. I will simultaneously develop a mathematical formulation of explainability in the context of granular computing.