Fuzzy-Expert: Mamdani Fuzzy Inference Systems in Python
===============================================================================


**Author**

| Prof. Juan David Velásquez-Henao, MSc, PhD
| Universidad Nacional de Colombia, Sede Medellín.
| jdvelasq@unal.edu.co



**What is it?**


**Fuzzy-Expert** is a Python package for building Mamdani Fuzzy Inference Systems. **Fuzzy-Expert** admits a mix of fuzzy and crisp values and associated certainty values. The inference system returns crisp values and certainty factors for the conclusions of the rules.


**Main Features**


* Specification of membership functions using standard functions or as a list of points.


* Different functions for specifying T-norms and Conorms.


* Different implication operators.


* Composition using `max-min` or `max-prod` rules.


* Most common functions for production aggregation.


* Different operators to defuzzificate fuzzy sets.


**Release Information**


* Date:   June 24, 2021  **Version**: 0.1.0


* Binary Installers:  `<https://pypi.org/project/fuzzy_expert>`_


* Source Repository:  `<https://github.com/jdvelasq/fuzzy-expert>`_


* Documentation:  `<https://jdvelasq.github.io/fuzzy-expert/>`_


.. toctree::
   :maxdepth: 1

   installation
   tutorials
   reference