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rough-sets

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