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Fuzzy Logic SciKit (Toolkit for SciPy)
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doc/examples
skfuzzy
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.travis.yml
CONTRIBUTORS.txt
DEPENDS.txt
LICENSE.txt
Makefile
README.md
setup.py

README.md

Readme

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.

Source

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

Mailing List

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

Installation from source

Refer to DEPENDS.txt for a list of dependencies.

SciKit-Fuzzy may be installed globally by running

$ python setup.py install

or locally by running

$ python setup.py install --prefix=${HOME}

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.

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