Skip to main content

Early Development of Rough Sets - From a Personal Perspective

  • Conference paper
  • 1474 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8171))

Abstract

First I would like to thank Dr. Lingras and Dr. Yao for giving me the opportunity to talk to you this morning and get acquainted again with many friends whom I have not seen for quite a while.

I would like to share with you my own personal involvement in the early development of Rough Sets proposed by Professor Pawlak [1,2]. My talk this morning is definitely not meant to be a review of all the important work done in Rough Sets since then. Another thing I want to emphasize is that I am not an expert in this field at all, but it will become clear to you as the story unfolds that somehow my connection with Rough Sets is not broken during these years.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Pawlak, Z.: Rough Sets. International Journal of Information and Computer Sciences 11, 341–356 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  2. Pawlak, Z.: On Superfluous Attributes in Knowledge Representation. Bulletin of Polish Academy of Sciences, Technical Sciences 32, 211–213 (1984)

    MathSciNet  MATH  Google Scholar 

  3. Wong, S.K.M., Ziarko, W.: On Reducing the Complexity of the Selection Problem. Bulletin of the Polish Academy of Sciences, Mathematics 33(11-12), 697–700 (1985)

    MathSciNet  MATH  Google Scholar 

  4. Wong, S.K.M., Ziarko, W.: On Optimal Decision Rules in Decision Tables. Bulletin of Polish Academy of Sciences, Mathematics 33(11-12), 693–696 (1985)

    MathSciNet  MATH  Google Scholar 

  5. Wong, S.K.M., Ziarko, W.: Algorithm for Inductive Learning. Bulletin of Polish Academy of Sciences, Technical Sciences 34(5-6), 272–276 (1986)

    Google Scholar 

  6. Wong, S.K.M., Ziarko, W., Ye, R.L.: Remarks on Attribute Selection Criterion in Inductive Learning Based on Rough Sets. Bulletin of Polish Academy of Sciences, Technical Sciences 34(5-6), 277–283 (1986)

    Google Scholar 

  7. Wong, S.K.M., Ziarko, W., Ye, R.L.: Comparison of Rough-Set and Statistical Methods in Inductive Learning. Int. J. Man - Machine Studies 24, 53–72 (1986)

    Article  MATH  Google Scholar 

  8. Quinlan, J.R.: Learning Efficient Classification Procedures and their Application to Chess and Games. In: Michalski, R.S., Carbonnell, J.G., Mitchell, T.M. (eds.) Machine Learning: the Artificial Intelligence Approach. Tioga Press, Palo Alto (1983)

    Google Scholar 

  9. Pawlak, Z., Wong, S.K.M., Ziarko, W.: Rough Sets: Probabilistic versus Deterministic Approach. Int. J. Man - Machine Studies 29, 81–89 (1986)

    Article  Google Scholar 

  10. Yao, Y.Y., Wong, S.K.M.: A Decision Theoretic Framework for Approximating Concepts. Int. J. Man - Machine Studies 37, 793–809 (1992)

    Article  Google Scholar 

  11. Zhao, Y., Wong, S.K.M., Yao, Y.: A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model. In: Peters, J.F., Skowron, A., Chan, C.-C., Grzymala-Busse, J.W., Ziarko, W.P. (eds.) Transactions on Rough Sets XIII. LNCS, vol. 6499, pp. 260–275. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  12. Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)

    MATH  Google Scholar 

  13. Scott, D.: Measurement Models and Linear Inequalities. Journal of Mathematical Psychology 1, 233–247 (1964)

    Article  MATH  Google Scholar 

  14. Wong, S.K.M., Lingras, P.: Representation of Qualitative User Preference by Quantitative Belief Functions. IEEE Transactions on Knowledge and Engineering 6(1), 72–78 (1994)

    Article  Google Scholar 

  15. Wong, S.K.M., Yao, Y.Y., Bollmann, P., Burger, H.C.: Axiomatization of Qualitative Belief Structure. IEEE Transactions on Systems, Man and Cybernetics 21(4), 726–734 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  16. Orlowska, E.: Logic of Indiscernibility Relations. In: Skowron, A. (ed.) SCT 1984. LNCS, vol. 208, pp. 177–186. Springer, Heidelberg (1985)

    Chapter  Google Scholar 

  17. Yao, Y.Y., Lin, T.Y.: Generalization of Rough Sets Using Model Logic. Intelligent Automation and Soft Computing 2, 103–120 (1996)

    Article  Google Scholar 

  18. Yao, Y.Y., Wong, S.K.M., Lin, T.L.: A Review of Rough Set Model. In: Lin, T.Y., Cercone, N. (eds.) Rough Sets and Data Mining Analysis of Imprecise Data, pp. 47–75. Kluwer Academic Publishers (1997)

    Google Scholar 

  19. Wong, S.K.M.: A Rough-Set Model for Reasoning about Knowledge. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery, pp. 276–285. Physica-Verlag, Springer (1998)

    Google Scholar 

  20. Fagin, R., Halpern, J., Moses, Y., Vardi, M.: Reasoning About Knowledge. MIT Press, Cambridge (1996)

    Google Scholar 

  21. Wong, S.K.M., Noroozi, N.: A Belief Structure for Reasoning about Knowledge. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds.) RSKT 2010. LNCS, vol. 6401, pp. 288–297. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wong, S.K.M. (2013). Early Development of Rough Sets - From a Personal Perspective. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41299-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics