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4 changes: 4 additions & 0 deletions README.md
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**Ex-Fuzzy** is a comprehensive Python library for **explainable artificial intelligence** through fuzzy logic programming. Built with a focus on accessibility and visualization, it enables researchers and practitioners to create interpretable machine learning models using fuzzy association rules.

**New**: Try Ex-Fuzzy labs! Our new plug and play web interface where you can quickly test how Ex-Fuzzy would work in your data: [ExFuzzy Labs](https://fuminides.github.io/exfuzzy-lab/)

**See it on real data**: [ExFuzzy Atlas](https://fuminides.github.io/exfuzzy-atlas/) shows Ex-Fuzzy models on public air quality, river water and taxi demand data: read each rule and see where on the map it decides ([source](https://github.com/Fuminides/exfuzzy-atlas)).

### Why Ex-Fuzzy?

- 🔍 **Explainable AI**: Create interpretable models that humans can understand. Support for classification and regression problems.
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#### Real Applications
- Ex-Fuzzy in fNIRS data: https://github.com/jjcato9/ex_fuzzy_fnirs_demo
- ExFuzzy Atlas, interpretable forecasts on maps of air quality, river water and taxi demand: https://fuminides.github.io/exfuzzy-atlas/
### 💻 Code Examples

<details>
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1 change: 1 addition & 0 deletions pyproject.toml
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Repository = "https://github.com/Fuminides/ex-fuzzy"
Download = "https://pypi.org/project/ex-fuzzy/"
Paper = "https://www.sciencedirect.com/science/article/pii/S0925231224008191"
Demo = "https://fuminides.github.io/exfuzzy-atlas/"

[tool.setuptools]
packages = ["ex_fuzzy"]
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