Rough set class library for machine learning
Features implemented:
- Indiscernibility relations that are the base for classic - and extended rough set relations.
- Decision systems and space partitions.
- Rough set measures for data set characterization:
- rough membership
- rough involvement
- rough agreement
- rough class quality
Usage: The library was used in
- Tarragó, D.S., Bello, R., Herrera, F.: Data Complexity by means of Rough Set Measures. In: Proceedings of the Cuba-Flanders Workshop on Machine Learning and Knowledge Discovery (CF-WML-KD2010). Editorial Feijoó, Central University Marta Abreu de Las Villas (2010). (text)
Developed with:
- Java 1.8
- NetBeans IDE 8.2
Dependencies:
- Weka 3.7