Tag: #fuzzy-logic5 results
Proposes Hierarchical TSK Fuzzy Classifier System to distill DRL policies into interpretable IF-THEN rules. Achieves 81.48% fidelity on Lunar Lander, outperforming decision trees by 21 points. Introduces FRAD, FSC, ASG metrics for interpretability evaluation.
This article explores the historical evolution of probability theory and its role in shaping modern scientific rationality. It highlights the limitations of Bayesian inference in handling conceptual vagueness and discusses how fuzzy logic and deep learning complement traditional probabilistic models.
This research introduces a unified framework for Mediative Fuzzy Logic, extending its foundations from type-1 to type-2, type-3, and quantum settings. It provides a robust mathematical structure for handling conflicting evidence in safety-critical applications like autonomous braking.
fEDM+ extends the fuzzy Ethical Decision-Making framework with an Explainability and Traceability Module (ETM) linking decisions to moral principles and providing weighted contribution profiles. It introduces pluralistic validation against multiple stakeholder referents for robustness. The framework retains formal verifiability via Fuzzy Petri Nets for ethical AI oversight.
This arXiv paper analyzes a method for factorizing formal contexts into independent subcontexts using closures of necessity operators from possibility theory. It examines properties of set pairs that enable such factorizations in Boolean data settings. The approach is extended to fuzzy contexts to support efficient computation of subcontexts.