A Rough Set Perspective on Knowledge Discovery in Information Systems: An Essay on the Topic of the Book

  • Lech Polkowski
  • Shusaku Tsumoto
  • Tsau Young Lin
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 56)


The underlying ideas of rough set theory — proposed by Zdzislaw Pawlak in the early 1980’s — have been developed into a manifold theory for the purpose of data and knowledge analysis, due to a systematic growth of interest in this theory in the scientific community, witnessed by — among others — a bibliography of over four hundred research papers on rough sets and their applications produced in the last couple of years and appendiced to this collection of expository papers (in the sequel, we refer to items in this bibliography (see Appendix 1) with indices like [X]xyz where X = A or X = B and xyz is the number of the item in the list X).


Decision System Decision Class Conditional Attribute Discernibility Matrix Prime Implicants 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Physica-Verlag Heidelberg 2000

Authors and Affiliations

  • Lech Polkowski
    • 1
    • 2
  • Shusaku Tsumoto
    • 3
  • Tsau Young Lin
    • 4
  1. 1.Polish-Japanese Institute of Information TechnologyWarsawPoland
  2. 2.Department of Mathematics and Information SciencesWarsaw University of TechnologyWarsawPoland
  3. 3.Department of Medicine Informatics, School of MedicineShimane Medical UniversityIzumo City, ShimaneJapan
  4. 4.Department of Mathematics and Computer ScienceSan Jose State UniversitySan JoseUSA

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