In [1]:

    

%load_ext autoreload
%autoreload 2
%matplotlib inline
import matplotlib.pyplot as plt
import os
import numpy as np
import pandas as pd
import warnings
warnings.filterwarnings('ignore')


    

In [2]:

    

import phuzzy as ph
from phuzzy.mpl import mix_mpl


    

In [3]:

    

x = ph.Trapezoid(alpha0=[-1, 2], alpha1=[.5, .8])
mix_mpl(x)
x.plot()
x


    

    
Out[3]:





Trapezoid(x:[[-1.0, 2.0], [0.5, 0.8]])






    

In [4]:

    

y=x**2
mix_mpl(y)
y.plot()
y


    

    
Out[4]:





FuzzyNumber(x^2:[[0.0, 4.0], [0.25, 0.6400000000000001]])






    

In [5]:

    

x = ph.Trapezoid(alpha0=[-1, 2], alpha1=[.5, .8])
y=x**.5
mix_mpl(y)
y.plot()
y


    

    
Out[5]:





FuzzyNumber(x^0.5:[[0.0, 1.4142135623730951], [0.7071067811865476, 0.8944271909999159]])






    

In [6]:

    

zero = ph.Trapezoid(alpha0=[0, 0], alpha1=[0, 0])
z = x ** zero
mix_mpl(z)
z.plot()
z


    

    
Out[6]:





FuzzyNumber(x^Trapezoid(x:[[0.0, 0.0], [0.0, 0.0]]):[[1.0, 1.0], [1.0, 1.0]])






    

In [7]:

    

p = ph.Trapezoid(alpha0=[-1, 4], alpha1=[.2, 3], number_of_alpha_levels=5, name="p")
y = p ** 0
mix_mpl(y)
y.plot()
y


    

    
Out[7]:





FuzzyNumber(p^0:[[1.0, 1.0], [1.0, 1.0]])






    

In [8]:

    

x = ph.Trapezoid(alpha0=[-1, 4], alpha1=[.5, .8], number_of_alpha_levels=5, name="p")
y = x ** 0
mix_mpl(y)
y.plot()
y


    

    
Out[8]:





FuzzyNumber(p^0:[[1.0, 1.0], [1.0, 1.0]])






    

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