Incorporating discrete numeric fuzzy sets in Python algorithms.
Dependencies: numpy, torch, matplotlib, ply
Contact: Manios Krasanakis (maniospas@hotmail.com)
License: Apache 2
This project is currently in unstable alpha.
The code below demonstrates a bubblesort algorithm that runs on fuzzy inputs on the DUFuz interpreter. A similar implementation can be written with the Python API.
import random
from timeit import default_timer as time
import matplotlib.pyplot as plt
values = [1, 2, 4? or 3.5?1.5, 5?] # 1 and 2 are not fuzzy
random.shuffle(values)
def bubblesort(values):
for i in range(len(values)):
for j in range(i+1, len(values)):
vali = values[i]
valj = values[j]
comparison = vali < valj
values[i] = vali if comparison else valj
values[j] = valj if comparison else vali
start_time = time()
bubblesort(values)
print("Completed in", time()-start_time, "sec")
axs = plt.subplots(len(values), 1)[1]
for ax, val in zip(axs, values):
val.plot(ax, True)
plt.show()