Welcome to Fuzzy System’s documentation!

FuzzySystem is a python framework to make Fuzzy Inference Systems easy to use and flexible. It is made by following the literary conventions in the Fuzzy Logic domain area.

This project aims to bring academics and researchers an easy-to-use tool to teach or perform experiments related to fuzzy systems. You will be able to configure and extend the classes to add more functionality and robustness. If you work in Matlab-like or python solutions to create fuzzy control systems, this framework will make you feel comfortable.

Installation

FuzzySystem framework is compatible with Python>3.6, and can be easily installed using pip:

$ pip install --upgrade pip
$ pip install FuzzySystem

Framework Documentation

Documentation:

• FuzzySystem
  • FuzzySystem package
    • FuzzySystem.config module
    • FuzzySystem.defuzzifier module
    • FuzzySystem.fis module
    • FuzzySystem.fuzzy_operations module
    • FuzzySystem.fuzzyrule module
    • FuzzySystem.fuzzyset module
    • FuzzySystem.fuzzyvariable module
    • FuzzySystem.matlab_importer module
    • FuzzySystem.membership_function module
    • FuzzySystem.nonsingleton module
    • FuzzySystem.output module
    • FuzzySystem.utils module

Try some examples:

Examples:

• Membership functions
• Basic Tipping Problem
• Shower Fuzzy Inference System
• Sugeno Fuzzy Inference System
• T-norm operators

Indices and tables

• Index

• Module Index

• Search Page