fuzzylite/pyfuzzylite
pyfuzzylite: a fuzzy logic control library in Python
This tool helps engineers and researchers design and operate control systems that mimic human-like reasoning, especially when dealing with imprecise or vague information. You provide rules and linguistic descriptions of inputs and desired outputs, and it generates a control response. It's used by those building automated systems that need to make decisions based on subjective or qualitative data.
No commits in the last 6 months. Available on PyPI.
Use this if you need to create intelligent control systems that can handle ambiguity and uncertainty, where traditional precise mathematical models are difficult to define.
Not ideal if your system requires absolute precision and operates strictly on clearly defined, quantitative data without any inherent fuzziness.
Stars
80
Forks
14
Language
Python
License
—
Category
Last pushed
Oct 12, 2025
Commits (30d)
0
Dependencies
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/fuzzylite/pyfuzzylite"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
fuzzylite/fuzzylite
fuzzylite: a fuzzy logic control library in C++
xcsf-dev/xcsf
XCSF learning classifier system: rule-based online evolutionary machine learning
fuzzylite/jfuzzylite
jfuzzylite: a fuzzy logic control library in Java
gregorLen/S-ANFIS-PyTorch
An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch....
thieu1995/X-ANFIS
X-ANFIS: An Extensible and Cross-Learning ANFIS Framework for Machine Learning Tasks