wschella / python-fuzzy-roughsets

A small demo Python implementation of some (fuzzy) roughset algorithms such as LEM2

Eddy: Python Fuzzy Rough Sets

This is a rudimentary library that implements some basic algorithms related to (fuzzy) rough sets. Originated as a project for the Soft Computing course at Ghent University 2018-2019.

Warning: This code is more then likely wrong in multiple places. Please use this only as a rudimentary accompaniement to existing implementations and theory.

Contents

Main contents of this package is a LEM2 Scikit-Learn Classifier (see eddy/lem2.py), and a (not really working) Fuzzy LEM Scikit-Learn Classifier (see eddy/fuzzylem.py).

Setup

This package uses Pipenv for dependency management. So it should be nothing more then:

• installing pipenv
• installing dependencies with pipenv install
• running code with pipenv run python -m eddy