Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.

Meta learning framework based on rough set measures

Framework for developing fuzzy and fuzzy-rough classification models for multiple instance data

Rough set class library for machine learning

Implementation of Hybrid fuzzy-rough Rule induction and feature selection paper 2009 by Richard Jensen