Skip to main content

‘Roughdas’ and ‘Roughclass’ Software Implementations of the Rough Sets Approach

  • Chapter

Part of the book series: Theory and Decision Library ((TDLD,volume 11))

Abstract

Two software systems based on the rough sets theory are described in this chapter. The first one, called ‘RoughDAS’, performs main steps of the analysis of data in an information system. The other one, called ‘RoughClass’, is intended to support classification of new objects. Some problems of sensitivity analysis referring to the handling of quantitative attributes in the rough sets analysis are also discussed.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Boryczka M.: The computer algorithm to the rough analysis of data [in Polish], Podstawy Sterowania 25 (1986) 249–254.

    Google Scholar 

  2. Boryczka M., Slowinski R.: Derivation of optimal decision algorithm from decision tables using rough sets, Bull. Polish Acad. Sci. Techn. Ser. 34 (3–4) (1988) 251–260.

    Google Scholar 

  3. Fibak J., Pawlak Z., Slowinski K., Slowinski R.: Rough sets based decision algorithm for treatment of duodenal ulcer by HSV, Bull. Polish Acad. Sci., Biol. Ser. 34 (1012) (1986) 227–246.

    Google Scholar 

  4. Gruszecki G., Slowinski R., Stefanowski J.: RoughDAS - Data and Knowledge Analysis Software based on the Rough Sets Theory. User’s Manual. APRO SA, Warsaw 1990, 49 pp.

    Google Scholar 

  5. Krysinski J.: Rough Sets Approach to the Analysis of the Structure Activity Relationship of Quaternary Imidazolium Compounds, Arzneimittel-Forschung/ Drug Research 40 (II), (1990) 795–799.

    Google Scholar 

  6. Matusiak D, Stefanowski J.: Sensitivity Analyser. User’s Manual, [in Polish], Technical University of Pozna, 1991 (manuscript 34 pp).

    Google Scholar 

  7. Nowicki R., Slowinski R., Stefanowski J.: Rough sets analysis of diagnostic capacity of vibroacoustic symptoms, Computers and Mathematics with Applications (1991) (to appear).

    Google Scholar 

  8. Nowicki R., Slowinski R., Stefanowski J.: Evaluation of vibroacoustic symptoms by means of the rough sets theory, Computers in Industry,(1991) (to appear).

    Google Scholar 

  9. Pawlak Z.: Rough Sets. Some Aspects of Reasoning About Data, Kluwer Academic Publishers, Dordrecht 1991.

    Google Scholar 

  10. Pawlak Z., Slowinski K., Slowinski R.: Rough classification of patients after highly selective vagotomy for duodenal ulcer. International Journal of Man-Machine Studies 24 (1986) 413–433.

    Article  Google Scholar 

  11. Romanski S.: Operations on Families of Sets for Exhaustive Search, Given a Monotonic Function. In Beeri C., J.W. Schmidt, Dayal W. (eds.) Proc. 3rd Int. Conf. on Data and Knowledge Bases, Jerusalem, Israel, June 28–30, 1988, 310–322.

    Google Scholar 

  12. Slowinski K., Slowinski R.: Sensitivity analysis of rough classification. International Journal of Man-Machine Studies 32 (1990), 693–705.

    Article  Google Scholar 

  13. Slowinski K., Slowinski R., Stefanowski J.: Rough sets approach to analysis of data from peritoneal lavage in acute pancreatitis.Medical Informatics, 13 (3) (1989), 143–159.

    Article  Google Scholar 

  14. Stefanowski J.: Classification Support Based on the rough sets theory.Proceedings of the IIASA Workshop on User-Oriented Methodology and Techniques of Decision Analysis and Support,Serock, Sept.9–13, 1991, (to appear).

    Google Scholar 

  15. Wong.S.K.M.,Ye Li, Ziarko R.: Comparison of rough sets and statistical methods in inductive learning. International Journal of Man-Machine Studies 24 (1986) 53–72.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Słowiński, R., Stefanowski, J. (1992). ‘Roughdas’ and ‘Roughclass’ Software Implementations of the Rough Sets Approach. In: Słowiński, R. (eds) Intelligent Decision Support. Theory and Decision Library, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7975-9_27

Download citation

  • DOI: https://doi.org/10.1007/978-94-015-7975-9_27

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4194-4

  • Online ISBN: 978-94-015-7975-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics