fuzzylite/jfuzzylite
jfuzzylite: a fuzzy logic control library in Java
This tool helps engineers and researchers design and implement fuzzy logic controllers for systems that need to make decisions based on imprecise or subjective input. You define linguistic rules and membership functions (like 'hot' or 'cold'), which it uses to process real-world sensor data or other inputs. The output is a calculated control action, like adjusting a thermostat or steering a robot. Control system designers, robotics engineers, and researchers in AI or automation would find this useful.
No commits in the last 6 months.
Use this if you need to build intelligent control systems where decisions are based on vague or qualitative criteria rather than exact numerical thresholds, such as in robotics, process control, or consumer electronics.
Not ideal if your control problem involves purely precise, deterministic calculations or if you require a simple, rule-based system without the need for fuzzy inference.
Stars
45
Forks
21
Language
Java
License
GPL-3.0
Category
Last pushed
Oct 13, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/fuzzylite/jfuzzylite"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
fuzzylite/pyfuzzylite
pyfuzzylite: a fuzzy logic control library in Python
fuzzylite/fuzzylite
fuzzylite: a fuzzy logic control library in C++
xcsf-dev/xcsf
XCSF learning classifier system: rule-based online evolutionary machine learning
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