A platform-centric survey of hardware fuzzy inference that compares FPGA, ASIC, and embedded/TinyML implementations and identifies missing benchmarks, design automation, and on-device learning as key gaps.
Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware imple- mentation and platforms over two decades,
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Hardware-Enabled Fuzzy Inference: Architectures, Platforms, and Emerging Trends
A platform-centric survey of hardware fuzzy inference that compares FPGA, ASIC, and embedded/TinyML implementations and identifies missing benchmarks, design automation, and on-device learning as key gaps.