iFuzz-Meta: Interpretable fuzzy learning framework

arXiv paper introduces iFuzz-Meta, an interpretable fuzzy learning framework that bridges top-down and bottom-up knowledge integration for neural computation. It addresses the challenge of models explaining their reasoning.