Credibility coefficients in ARES rough set exploration system

  • Authors:
  • Roman Podraza;Mariusz Walkiewicz;Andrzej Dominik

  • Affiliations:
  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland;Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland;Institute of Radioelectronics, Warsaw University of Technology, Warsaw, Poland

  • Venue:
  • RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
  • Year:
  • 2005

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Abstract

This paper presents ARES Rough Set Exploration System. This system is a complex data analyzing application. The program lets the user to discretize real data, find relative static and dynamic reducts, find frequent sets, find decision rules and calculate credibility coefficients for objects from a decision table. Some information about logical and technical aspects of the system architecture is provided as well.