Welcome to phuzzy’s documentation!¶

phuzzy¶

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Fuzzy calculation in Python.

Free software: MIT license
Documentation: https://phuzzy.readthedocs.io.

Features¶

TODO

Credits¶

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Installation¶

Stable release¶

To install phuzzy, run this command in your terminal:

$ pip install phuzzy

This is the preferred method to install phuzzy, as it will always install the most recent stable release.

If you don’t have pip installed, this Python installation guide can guide you through the process.

From sources¶

The sources for phuzzy can be downloaded from the Github repo.

You can either clone the public repository:

$ git clone git://github.com/lepy/phuzzy

Or download the tarball:

$ curl  -OL https://github.com/lepy/phuzzy/tarball/master

Once you have a copy of the source, you can install it with:

$ python setup.py install

Usage¶

To use phuzzy in a project:

import phuzzy
tn = phuzzy.TruncNorm(alpha0=[2, 3], alpha1=[], number_of_alpha_levels=15, name="t")
tri = phuzzy.Triangle(alpha0=[1, 4], alpha1=[2], number_of_alpha_levels=5)
f = tn + tri
print(f.df)

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="/tmp/uniform.png", title=True)

Uniform fuzzy number (this is just an interval)

Triangle¶

import phuzzy.mpl as phm

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

Triangle fuzzy number

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="/tmp/trapezoid.png", title=True)

Trapezoid fuzzy number

TruncNorm¶

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

TruncNorm fuzzy number

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="/tmp/truncgennorm.png", title=True)

TruncGenNorm fuzzy number

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="/tmp/superellipse.png", title=True)

Superellipse fuzzy number

basic operations¶

Addition¶

$z = x + y$

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"

Addition of fuzzy numbers

Substraction¶

$z = x - y$

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 of fuzzy numbers

Multiplication¶

$z = x y$

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 of fuzzy numbers

Division¶

$z = \frac{x}{y}$

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 of fuzzy numbers

Power¶

$z = x^y$

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"

Power operation with fuzzy numbers

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="/tmp/uniform.png", title=True)

Uniform fuzzy number

Triangle¶

import phuzzy.mpl as phm

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

Triangle fuzzy number

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="/tmp/trapezoid.png", title=True)

Trapezoid fuzzy number

TruncNorm¶

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

TruncNorm fuzzy number

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="/tmp/truncgennorm.png", title=True)

TruncGenNorm fuzzy number

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="/tmp/superellipse.png", title=True)

Superellipse fuzzy number

Superellipse fuzzy number (variation m, n)

Contributing¶

Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.

You can contribute in many ways:

Types of Contributions¶

Report Bugs¶

Report bugs at https://github.com/lepy/phuzzy/issues.

If you are reporting a bug, please include:

Your operating system name and version.
Any details about your local setup that might be helpful in troubleshooting.
Detailed steps to reproduce the bug.

Fix Bugs¶

Look through the GitHub issues for bugs. Anything tagged with “bug” and “help wanted” is open to whoever wants to implement it.

Implement Features¶

Look through the GitHub issues for features. Anything tagged with “enhancement” and “help wanted” is open to whoever wants to implement it.

Write Documentation¶

phuzzy could always use more documentation, whether as part of the official phuzzy docs, in docstrings, or even on the web in blog posts, articles, and such.

Submit Feedback¶

The best way to send feedback is to file an issue at https://github.com/lepy/phuzzy/issues.

If you are proposing a feature:

Explain in detail how it would work.
Keep the scope as narrow as possible, to make it easier to implement.
Remember that this is a volunteer-driven project, and that contributions are welcome :)

Get Started!¶

Ready to contribute? Here’s how to set up phuzzy for local development.

Fork the phuzzy repo on GitHub.

Clone your fork locally:

$ git clone git@github.com:your_name_here/phuzzy.git

Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
```
$ mkvirtualenv phuzzy
$ cd phuzzy/
$ python setup.py develop
```
Create a branch for local development:
```
$ git checkout -b name-of-your-bugfix-or-feature
```
Now you can make your changes locally.
When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
```
$ flake8 phuzzy tests
$ python setup.py test or py.test
$ tox
```
To get flake8 and tox, just pip install them into your virtualenv.

Commit your changes and push your branch to GitHub:

$ git add .
$ git commit -m "Your detailed description of your changes."
$ git push origin name-of-your-bugfix-or-feature

Submit a pull request through the GitHub website.

Pull Request Guidelines¶

Before you submit a pull request, check that it meets these guidelines:

The pull request should include tests.
If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check https://travis-ci.org/lepy/phuzzy/pull_requests and make sure that the tests pass for all supported Python versions.

Tips¶

To run a subset of tests:

$ py.test tests.test_phuzzy

Deploying¶

A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.rst). Then run:

$ git push
$ git push --tags

Travis will then deploy to PyPI if tests pass.

Credits¶

Development Lead¶

Lepy <lepy@mailbox.org>

Contributors¶

None yet. Why not be the first?

History¶

0.4.0 (2018-04-13)¶

First release on PyPI.

0.5.0 (2018-04-16)¶

rename FuzzyNumber.df.columns = [“alpha”, “l”, “r”]

lsdyna

Welcome to phuzzy’s documentation!¶

phuzzy¶

Features¶

Credits¶

Installation¶

Stable release¶

From sources¶

Usage¶

available shapes¶

Uniform¶

Triangle¶

Trapezoid¶

TruncNorm¶

TruncGenNorm¶

Superellipse¶

basic operations¶

Addition¶

Substraction¶

Multiplication¶

Division¶

Power¶

Shapes¶

Uniform¶

Triangle¶

Trapezoid¶

TruncNorm¶

TruncGenNorm¶

Superellipse¶

Contributing¶

Types of Contributions¶

Report Bugs¶

Fix Bugs¶

Implement Features¶

Write Documentation¶

Submit Feedback¶

Get Started!¶

Pull Request Guidelines¶

Tips¶

Deploying¶

Credits¶

Development Lead¶

Contributors¶

History¶

0.4.0 (2018-04-13)¶

0.5.0 (2018-04-16)¶

Indices and tables¶