Interpretable and Uncertainty-Aware by Construction Decisions with Fuzzy Theory

Autonomous systems increasingly use Machine-Learning (ML) components to perceive their environment and guide the decision-making process. However, the confidence scores of these components are often miscalibrated and fail to represent true predictive reliability. While existing calibration methods r