ANFIS-Toolbox: A Python Package for Adaptive Neuro-Fuzzy Inference Systems

Daniel França; Manuella Aschoff; Tiago França; Danniel Macedo; Vitor França; Lucidio Cabral; Alisson Brito; Clauirton Siebra; Tiago Araujo

doi:10.5334/jors.638

ANFIS-Toolbox: A Python Package for Adaptive Neuro-Fuzzy Inference Systems

Volume 14 (2026): Issue 1

By: Daniel França , Manuella Aschoff , Tiago França , Danniel Macedo , Vitor França , Lucidio Cabral , Alisson Brito , Clauirton Siebra and Tiago Araujo

Open Access

|Mar 2026

Abstract

ANFIS-Toolbox is an open-source Python package that implements the Adaptive Neuro-Fuzzy Inference System (ANFIS). It provides high-level estimators (ANFISRegressor and ANFISClassifier) featuring an application programming interface (API) consistent with that of scikit-learn, while maintaining minimal external dependencies. The package supports various membership function families and training strategies, including the classic hybrid learning procedure alongside modern gradient-based optimizers like Adam. Its modular architecture allows for easy extension. ANFIS-Toolbox is openly available on GitHub under the MIT license and is well-suited for regression and classification tasks in research and teaching environments.

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Articles in this issue

DOI: https://doi.org/10.5334/jors.638 | Journal eISSN: 2049-9647

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Language: English

Submitted on: Nov 4, 2025

Accepted on: Feb 10, 2026

Published on: Mar 2, 2026

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Python,

ANFIS,

© 2026 Daniel França, Manuella Aschoff, Tiago França, Danniel Macedo, Vitor França, Lucidio Cabral, Alisson Brito, Clauirton Siebra, Tiago Araujo, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 14 (2026): Issue 1