AI RESEARCH
xFODE+: Explainable Type-2 Fuzzy Additive ODEs for Uncertainty Quantification
arXiv CS.LG
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ArXi:2604.14880v1 Announce Type: new Recent advances in Deep Learning (DL) have boosted data-driven System Identification (SysID), but reliable use requires Uncertainty Quantification (UQ) alongside accurate predictions. Although UQ-capable models such as Fuzzy ODE (FODE) can produce Prediction Intervals (PIs), they offer limited interpretability. We