Aussie AI

Fuzzy Logic in AI

Last Updated 27 August, 2025

by David Spuler, Ph.D.

Fuzzy logic has been applied to AI models in various ways. And it's also been compared to neural networks, since they're pretty similar. Isn't a neural network just a huge exercise in fuzzy logic? Fuzzy logic is supposedly "approximate reasoning", which also sounds like a good description for neural networks. There's a class of neural networks called "fuzzy neural networks" which is a combination.

Most of the research papers on fuzzy neural networks seem quite dated. Fuzzy logic doesn't seem to be a hot research area for AI any more.

Research on Fuzzy Logic

Kyle Clark, Matt Schweider, Tommy Sheehan, Jarred Melancon, 2020, Fuzzy programming SysEn 5800 Fall 2020, Cornell University Computational Optimization Open Textbook, https://optimization.cbe.cornell.edu/index.php?title=Fuzzy_programming
A Razib, S Dick, V Gaudet, 2013, Log-domain arithmetic for high-speed fuzzy control on a field-programmable gate array, Soft Computing: State of the Art Theory and Novel Applications, pp. 269–287, https://link.springer.com/chapter/10.1007/978-3-642-34922-5_19 (Does LNS for non-AI; uses max instead of addition.)
K Zhou, SK Oh, W Pedrycz, J Qiu, 2023, Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function, Engineering Applications of Artificial Intelligence, https://www.sciencedirect.com/science/article/pii/S095219762200570X
AF Shapiro, The merging of neural networks, fuzzy logic, and genetic algorithms, Insurance: Mathematics and Economics, 2002, https://www.sciencedirect.com/science/article/pii/S0167668702001245, http://web.unbc.ca/~lucas0/papers/Old%20Papers/The-Merging-Of-NNs-Fuzzy-Logic-And-GAs.pdf
T Nishina, M Hagiwara, Fuzzy inference neural network, 1997, Neurocomputing, https://www.sciencedirect.com/science/article/pii/S0925231296000367
Martínez-Zarzuela M, Pernas F, Higuera J and Rodríguez M., 2007, Fuzzy ART neural network parallel computing on the GPU. Proceedings of the 9th international work conference on Artificial neural networks. pp. 463-470. https://dl.acm.org/doi/10.5555/1768409.1768474
KM Lee, DH Kwak, H Lee-Kwang, 1996, Fuzzy inference neural network for fuzzy model tuning, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Volume 26, Issue 4, August 1996, https://ieeexplore.ieee.org/abstract/document/517027/
H Iyatomi, M Hagiwara, 2004, Adaptive fuzzy inference neural network, Pattern Recognition, https://www.sciencedirect.com/science/article/pii/S0031320304001347, PDF: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=e3a1dd695f44394efb01908079cbfdfa26084259
VB Rao, H Rao, 1995, C++, neural networks and fuzzy logic https://dl.acm.org/doi/abs/10.5555/216088
R Premalatha, P Murugesan, January 2017. Adaptive Neural Fuzzy Inference System Optimization in Converter, Journal of Computational and Theoretical Nanoscience 14(1):640-646, https://www.researchgate.net/publication/316642558_Adaptive_Neural_Fuzzy_Inference_System_Optimization_in_Converter
Qin Chang, Zhen Zhang, Fanyue Wei, Jian Wang, Witold Pedrycz, Nikhil R. Pal, 2024, Adaptive Nonstationary Fuzzy Neural Network, Knowledge-Based Systems, Volume 288, 111398, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2024.111398 https://www.sciencedirect.com/science/article/pii/S0950705124000339
Luo, B., Luo, R. Application and Empirical Analysis of Fuzzy Neural Networks in Mining Social Media Users’ Behavioral Characteristics and Formulating Accurate Online Marketing Strategies. Int J Comput Intell Syst 17, 273 (2024). https://doi.org/10.1007/s44196-024-00675-6 https://link.springer.com/article/10.1007/s44196-024-00675-6
Zhang, Z., Yu, M., & Jia, H. (2025). Decentralized Nonstationary Fuzzy Neural Network with Meta-Learning-Net. Mathematics, 13(4), 552. https://doi.org/10.3390/math13040552 https://www.mdpi.com/2227-7390/13/4/552
L. Ren, T. Zhao and H. Wang, "FDformer: A Fuzzy Dynamic Transformer-Based Network for Efficient Industrial Time Series Prediction," in IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2025.3549920. https://ieeexplore.ieee.org/abstract/document/10919147/
Omid Orang, Patricia O. Lucas, Gabriel I. F. Paiva, Petronio C. L. Silva, Felipe Augusto Rocha da Silva, Adriano Alonso Veloso, Frederico Gadelha Guimaraes, 22 Jul 2025, Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting, https://arxiv.org/abs/2507.17016
Vanessa Figueiredo, 8 Aug 2025, A Fuzzy Logic Prompting Framework for Large Language Models in Adaptive and Uncertain Tasks, https://arxiv.org/abs/2508.06754
Lijian Li, 28 Jul 2025, Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion, https://arxiv.org/abs/2507.20641
Mojtaba Moattari, 22 Jul 2025, A Study on Variants of Conventional, Fuzzy, and Nullspace-Based Independence Criteria for Improving Supervised and Unsupervised Learning, https://arxiv.org/abs/2507.21136
Abeer Dyoub and Ivan Letteri and Francesca A. Lisi, 28 Jul 2025, ff4ERA: A new Fuzzy Framework for Ethical Risk Assessment in AI, https://arxiv.org/abs/2508.00899
Artem Hnilov, 11 Aug 2025, Fuzzy-Pattern Tsetlin Machine, https://arxiv.org/abs/2508.08350
Swagato Das, Arghya Pratihar, Swagatam Das, 12 Aug 2025, Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering, https://arxiv.org/abs/2505.04335
Lida Shahbandari, Hossein Mohseni, 17 Aug 2025, Advanced DOA Regulation with a Whale-Optimized Fractional Order Fuzzy PID Framework, https://arxiv.org/abs/2508.12487
Amin Noroozi, Sandaruwan K. Sethunge, Elham Norouzi, Phat T. Phan, Kavinda U. Waduge, and Md. Arafatur Rahman, 20 Aug 2025, A Fuzzy-Enhanced Explainable AI Framework for Flight Continuous Descent Operations Classification, https://arxiv.org/abs/2508.14618
Pouria Mortezaagha, Arya Rahgozar, 17 Aug 2025, An Auditable Pipeline for Fuzzy Full-Text Screening in Systematic Reviews: Integrating Contrastive Semantic Highlighting and LLM Judgment, https://arxiv.org/abs/2508.15822
Yizhi Wang, Degang Xu, Yongfang Xie, Shuzhong Tan, Xianan Zhou, and Peng Chen, 22 Aug 2025, Hierarchical Decision-Making for Autonomous Navigation: Integrating Deep Reinforcement Learning and Fuzzy Logic in Four-Wheel Independent Steering and Driving Systems, https://arxiv.org/abs/2508.16574