phuzzy

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PHUZZY

python representation of fuzzy numbers|data
specify uncertainty easily

Usage

To use phuzzy in a project:

# create a fuzzy number
p = phuzzy.Triangle(alpha0=[1,4], alpha1=[2],
                    number_of_alpha_levels=5)
# show alpha levels
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

Available shapes

Uniform

import phuzzy.mpl as phm
uni = phm.Uniform(alpha0=[1, 4], number_of_alpha_levels=5, name="x")
uni.plot(show=True, filepath="uniform.png", title=True)

Triangle

import phuzzy.mpl as phm

tri = phm.Triangle(alpha0=[1, 4], alpha1=[2], number_of_alpha_levels=5)
tri.plot(show=False, filepath="triangle.png", title=True)

Trapezoid

import phuzzy.mpl as phm
trap = phm.Trapezoid(alpha0=[1, 5], alpha1=[2, 3], number_of_alpha_levels=5)
trap.plot(show=False, filepath="trapezoid.png", title=True)

TruncNorm

import phuzzy.mpl as phm
tn = phm.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name="x")
tn.plot(show=False, filepath="truncnorm.png", title=True)

TruncGenNorm

import phuzzy.mpl as phm
tgn = phm.TruncGenNorm(alpha0=[1, 4], alpha1=[2, 3], number_of_alpha_levels=15, beta=3.)
tgn.plot(show=False, filepath="truncgennorm.png", title=True)

Superellipse

import phuzzy.mpl as phm
se = phm.Superellipse(alpha0=[-1, 2.], alpha1=None, m=1.0, n=.5, number_of_alpha_levels=17)
se.plot(show=True, filepath="superellipse.png", title=True)

Basic operations

Addition

x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)
y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name="y")
z = x + y
z.name = "x+y"

Substraction

x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)
y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name="y")
z = x - y
z.name = "x-y"

Multiplication

x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)
y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name="y")
z = x * y
z.name = "x*y"

Division

x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)
y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name="y")
z = x / y
z.name = "x/y"

Exponentiation

x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)
y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name="y")
z = x ** y
z.name = "x^y"

Metadata

Release files for phuzzy 0.8.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for phuzzy 0.8.1
File	Size	Uploaded
phuzzy-0.8.1.tar.gz	2.6 MB	Mar 21, 2025	Details

Release files / phuzzy-0.8.1.tar.gz

Download URL	phuzzy-0.8.1.tar.gz
Size	2.6 MB
Tags	Source
SHA-256 checksum How to use checksums	`8db89c799b483a5bb73e253daec7b81de3bb78d052f8c5502ce1609f4d4309e4`
BLAKE2b-256 checksum How to use checksums	`1fd152295d436173907119bf1bf3e53902942f04485d0860db4cdb01cbdd771c`
Upload date	Mar 21, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.0.1 CPython/3.12.8`