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.
https://github.com/scikit-fuzzy/scikit-fuzzy
http://groups.google.com/group/scikit-fuzzy
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.
Please read LICENSE.txt in this directory.
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.