https://github.com/scikit-fuzzy/scikit-fuzzy

Fuzzy Logic SciKit (Toolkit for SciPy)
https://github.com/scikit-fuzzy/scikit-fuzzy

Last synced: about 2 months ago
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Fuzzy Logic SciKit (Toolkit for SciPy)

• Host: GitHub
• URL: https://github.com/scikit-fuzzy/scikit-fuzzy
• Owner: scikit-fuzzy
• License: other
• Created: 2013-03-19T04:27:23.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2024-08-25T20:36:04.000Z (4 months ago)
• Last Synced: 2024-09-07T15:13:33.855Z (4 months ago)
• Language: Python
• Size: 4.98 MB
• Stars: 783
• Watchers: 37
• Forks: 270
• Open Issues: 46
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.txt
  • License: LICENSE.txt

Awesome Lists containing this project

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• awesome-python-machine-learning - scikit-fuzzy - scikit-fuzzy is a fuzzy logic toolkit for SciPy. (Uncategorized / Uncategorized)

README

        
scikit-fuzzy

============

`scikit-fuzzy` is a fuzzy logic toolkit for SciPy.

The goals of scikit-fuzzy are:

* To provide the community with a robust toolkit of independently developed and

  implemented fuzzy logic algorithms

* To increase the attractiveness of scientific Python as a valid alternative to

  closed-source options.

Please cite [![DOI](https://zenodo.org/badge/8872608.svg)](https://zenodo.org/badge/latestdoi/8872608)

if you find scikit-fuzzy useful.  A formal paper describing this package is in

preparation.

Source

------

https://github.com/scikit-fuzzy/scikit-fuzzy

Documentation

-------------

The documentation of the library can be found here: https://scikit-fuzzy.github.io/scikit-fuzzy/

Online Discussion & Mailing List

--------------------------------

Please join the discussion in our public chat room on Gitter.im

[![Gitter](https://badges.gitter.im/JoinChat.svg)](https://gitter.im/scikit-fuzzy/scikit-fuzzy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

or view/post on the Google Groups mailing list

http://groups.google.com/group/scikit-fuzzy

Installation

------------

Scikit-Fuzzy depends on

  

  * Matplotlib >= 3.1

  * NumPy >= 1.6

  * SciPy >= 0.9

  * NetworkX >= 1.9

and is available on PyPi! The latest stable release can always be obtained

and installed simply by running

    $ pip install -U scikit-fuzzy

which will also work to upgrade existing installations to the latest release.

If you prefer to install from source or develop this package, you can fork and

clone this repository then install SciKit-Fuzzy by running

	$ pip install -e .

or develop locally by running

	$ pip install -e ".[develop]"

If you prefer, you can use SciKit-Fuzzy without installing by simply exporting

this path to your PYTHONPATH variable.

License

-------

Please read LICENSE.txt in this directory.

IEEE Rounding for Matlab users

------------------------------

It should be noted that Matlab rounds incorrectly. The IEEE standard (which is

how this package behaves) requires rounding to the nearest EVEN number if

exactly between, e.g. 1.5 --> 2; 2.5 --> 2; 3.5 --> 4; 4.5 --> 4, etc. This

minimizes systematic rounding error. Thus, if re-implementing algorithms from

Matlab code, slight inconsistencies in rounded results are expected. These are

not bugs, and will not be fixed.