Fuzzy logic

One of the famous Python libraries for fuzzy logic is scikit-fuzzy. Several fuzzy logic algorithms have already been implemented on this library. Since scikit-fuzzy is an open source library, you can review the source code at https://github.com/scikit-fuzzy/scikit-fuzzy.

Before you install this library, you should already have installed NumPy and SciPy libraries. You can install scikit-fuzzy using pip, by typing the following command:

$ sudo pip install scikit
-fuzzy

As another option, you can install the scikit-fuzzy library from source code.

Type these commands:

$ git clone https://github.com/scikit-fuzzy/scikit-fuzzy
$ cd scikit-fuzzy/
$ sudo python setup.py install

After completing the installation, you can use scikit-fuzzy. To test how to work with scikit-fuzzy, we will build a fuzzy membership for temperature using the fuzz.trimf() function. You can write the following scripts:

import matplotlib
matplotlib.use('Agg')

import numpy as np
import skfuzzy as fuzz
import matplotlib...