fuzzy membership function
- python representation of fuzzy numbers|data
- specify uncertainty easily
p = phuzzy.Triangle(alpha0=[1,4], alpha1=[2],
number_of_alpha_levels=5)
+++
p = phuzzy.Triangle(alpha0=[1,4], alpha1=[2],
number_of_alpha_levels=5)
p.df
alpha l r
0 0.00 1.00 4.0
1 0.25 1.25 3.5
2 0.50 1.50 3.0
3 0.75 1.75 2.5
4 1.00 2.00 2.0
p = phuzzy.Trapezoid(alpha0=[1,4], alpha1=[2,3],
number_of_alpha_levels=5)
+++
p = phuzzy.Trapezoid(alpha0=[1,4], alpha1=[2,3],
number_of_alpha_levels=5)
p.df
alpha l r
0 0.00 1.00 4.00
1 0.25 1.25 3.75
2 0.50 1.50 3.50
3 0.75 1.75 3.25
4 1.00 2.00 3.00
p = phuzzy.Uniform(alpha0=[1,4]
number_of_alpha_levels=5)
+++
p = phuzzy.Trapezoid(alpha0=[1,4],
number_of_alpha_levels=5)
p.df
alpha l r
0 0.00 1.00 4.00
1 0.25 1.00 4.00
2 0.50 1.00 4.00
3 0.75 1.00 4.00
4 1.00 1.00 4.00
p = phuzzy.TruncNorm(alpha0=[1,3],
number_of_alpha_levels=15, name="y")
+++
p = phuzzy.TruncNorm(alpha0=[1,3],
number_of_alpha_levels=15, name="y")
p.df
alpha l r
0 0.000000 1.000000 3.000000
1 0.071429 1.234184 2.765816
2 0.142857 1.342402 2.657598
3 0.214286 1.414912 2.585088
4 0.285714 1.472370 2.527630
5 0.357143 1.521661 2.478339
6 0.428571 1.566075 2.433925
7 0.500000 1.607529 2.392471
8 0.571429 1.647354 2.352646
9 0.642857 1.686656 2.313344
10 0.714286 1.726558 2.273442
11 0.785714 1.768503 2.231497
12 0.857143 1.814923 2.185077
13 0.928571 1.871675 2.128325
14 1.000000 2.000000 2.000000
p = phuzzy.TruncGenNorm(alpha0=[1,3],
number_of_alpha_levels=15, name="y",
beta=5)
p = phuzzy.Superellipse(alpha0=[1,3],
number_of_alpha_levels=15, name="y",
m=2, n=.5)
+++
+++
+++
+++
