arXiv Machine Learning July 23, 2026 By Cayan Deniz Kucuktopana, Javier Fumanal-Idocin, Richard Pitts, Javier Andreu-Perez

Interpretable Fuzzy Rule-Based Regression Extension for Ex-Fuzzy Library

Read the original on arXiv Machine Learning →

arXiv:2607. 20277v1 Announce Type: new Abstract: Machine learning models achieve high predictive accuracy in regression tasks, but their deployment in safety-critical and regulated domains requires interpretability.

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HyperANFIS: Enhancing Rule Representation and Interpretability in Adaptive Neuro-Fuzzy Systems via Hyperbolic Geometry

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