# Copyright (c) 2023 Jakub Więckowski
import matplotlib.pyplot as plt
import numpy as np
[docs]
def single_ifs_bar_plot(ifs, title=None, ax=None):
"""
Visualize a single Intuitionistic Fuzzy Set (IFS) using a bar plot.
Parameters:
- ifs (list): A list of three values representing the membership, non-membership, and uncertainty of the IFS.
- title (str, optional): The title for the plot.
- ax (Axes or None): Axes object to draw on. If None, then current axes is used.
Returns:
ax
Example:
```
# Example Usage:
ifs_example = [0.6, 0.2, 0.2]
single_ifs_bar_plot(ifs_example, title='Example IFS')
```
The bar plot displays the degree of belief for membership, non-membership, and uncertainty of an Intuitionistic Fuzzy Set.
"""
categories = ['Membership', 'Non-membership', 'Uncertainty']
values = np.array(ifs)
if ax is None:
ax = plt.gca()
# Create a bar plot with grid and edge color
ax.bar(categories, values, color=['dodgerblue', 'red', 'gray'], edgecolor='black', alpha=0.7)
# Add values on top of the bars
for i, value in enumerate(values):
ax.text(i, value + 0.01, f'{value:.2f}', ha='center', va='bottom')
# Add labels and title
ax.set_ylabel('Degree of Belief')
ax.set_title(title if title else 'Intuitionistic Fuzzy Set')
# Add grid
ax.grid(axis='y', linestyle='--', alpha=0.7)
ax.set_axisbelow(True)
# adjust ylim
ax.set_ylim([0, max(ifs)+0.1*max(ifs)])
return ax