Computationally Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning

This paper presents a computationally efficient learning method for Fuzzy Logic Systems (FLSs) embedded within the realm of Deep Learning (DL), tackling the challenges of learning large-scale data.