Python Fuzzy Logic library
Project description
fuzzylab
Python Fuzzy Logic library based on Octave Fuzzy Logic Toolkit 0.4.6, considered as a mostly MATLAB-compatible fuzzy logic toolkit for Octave.
The way to use the fuzzylab functions is based on Matlab R2022a Fuzzy Logic Toolbox functions.
This library is more mature compared to the first version and will receive periodic updates.
Research work
Installation
pip install fuzzylab
Usage
In the folder examples there are some code snippets and the equivalent matlab code for a starting point using the library.
We use fl
as the alias for fuzzylab
.
import fuzzylab as fl
Example
import fuzzylab as fl
import matplotlib.pyplot as plt
x = fl.arange(0, 0.1, 10)
y = fl.trimf(x, [3, 6, 8])
plt.plot(x,y)
plt.title('trimf, P = [3, 6, 8]')
plt.xlabel('x')
plt.ylabel('Degree of Membership')
plt.ylim([-0.05, 1.05])
plt.show()
Also we can use a more matlab code style
from fuzzylab import arange, trimf
from matplotlib.pyplot import plot, title, xlabel, ylabel, ylim, show
x = arange(0, 0.1, 10)
y = trimf(x, [3, 6, 8])
plot(x,y)
title('trimf, P = [3, 6, 8]')
xlabel('x')
ylabel('Degree of Membership')
ylim([-0.05, 1.05])
show()
Citing fuzzylab
@Inbook{Avelar2020,
author="Avelar, Eduardo
and Castillo, Oscar
and Soria, Jos{\'e}",
editor="Castillo, Oscar
and Melin, Patricia
and Kacprzyk, Janusz",
title="Fuzzy Logic Controller with Fuzzylab Python Library and the Robot Operating System for Autonomous Robot Navigation: A Practical Approach",
bookTitle="Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="355--369",
isbn="978-3-030-35445-9",
doi="10.1007/978-3-030-35445-9_27",
url="https://doi.org/10.1007/978-3-030-35445-9_27"
}
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fuzzylab-0.13.tar.gz
(25.1 kB
view hashes)
Built Distribution
fuzzylab-0.13-py3-none-any.whl
(28.4 kB
view hashes)