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Fuzzy and Rough Set

Combining Fuzzy Set and Rough Set for Inductive Learning
  • Hong Jing 
  • Lu Jingui 
  • Shi Feng 
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 163)

Abstract

A fuzzy-rough set model is presented based on the extension of the classical rough set theory. The continuous attributes are fuzzified. The indiscernibility relation in classical rough set is extended to the fuzzy similarity relation. Then an inductive learning algorithm based on fuzzy-rough set model (FRILA) is proposed. Finally, with comparison to the decision tree algorithms, the effectiveness of the proposed method is verified by an example.

Key words

Fuzzy set Rough set Fuzzy similarity relation Inductive learning 

References

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Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • Hong Jing 
    • 1
  • Lu Jingui 
    • 1
  • Shi Feng 
    • 2
  1. 1.Department of Computer Science and EngineeringNanjing University of TechnologyNanjing
  2. 2.National Die & Mold CAD Engineering Research CenterShanghai Jiaotong UniversityShanghai

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