Fuzzy Modeling, Granular Computing, and XAI

XAI enables AI systems to explain their decisions, often in natural language, and can benefit from the methodologies that Granular Computing offers for managing imprecision and uncertainty. As a cornerstone of Granular Computing, Fuzzy Logic provides the mathematical tools to develop interpretable models that can process graded concepts, define the meaning of most natural language terms and handle the uncertainty that characterizes decision support tasks. We use fuzzy models in several domains, including medical diagnosis and learning analytics.