DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System

arXiv:2308.06378v3 Announce Type: replace-cross
Abstract: A key challenge in eXplainable Artificial Intelligence is the well-known tradeoff between the transparency of an algorithm (i.e., how easily a human can directly understand the algorithm, as opposed to receiving a post-hoc explanation), and its accuracy. We report on the design of a new deep network that achieves improved transparency without sacrificing accuracy. We design a deep convolutional neuro-fuzzy inference system (DCNFIS) by hybridizing fuzzy logic and deep learning models and show that DCNFIS …

abstract accuracy algorithm artificial artificial intelligence arxiv challenge cs.ai cs.cv cs.lg design explainable artificial intelligence human inference intelligence key network neuro report the algorithm transparency type