Fuzzy Neural Networks—A Review with Case Study

Abstract

Featured Application: This work could be used by scientists to gain knowledge about fuzzy neural networks and their potential for practical implementation in real-world systems. This publication focuses on the use of fuzzy neural networks for data prediction. The author reviews papers in which fuzzy neural networks were used. The papers were selected mainly from 2020 to 2025 and were selected if fuzzy neural network were used for practical applications. Also, some chosen networks are described: FALCON, ANFIS, and a fuzzy network with Ordered Fuzzy Numbers. The networks with the implementation code presented in other publications were tested and compared to K Neighbors Classifier, Decision Tree Classifier, and Random Forest Classifier. The methodology and configuration of the networks are provided. Finally, the conclusions discuss limitations, future research prospects, and guidelines for future work.