A Linguistically Interpretable Deep Fuzzy Classification System With Feature Transformation and Reconstruction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3394897
Abstract: Classification tasks involving tabular data often require a balance between exceptional performance and heightened interpretability. To address this challenge, we propose a linguistically interpretable deep fuzzy classification system called FFT-FFR-RBFC. The system employs a fuzzy… read more here.
Keywords: classification; interpretable deep; system; linguistically interpretable ... See more keywords