Skip to main content

Science and Semantics: A Note on Rough Sets and Vagueness

  • Chapter

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 42))

Abstract

In the chapter we present rough set theory against the background of recent philosophical discussions about vagueness and empirical sciences. Weiner, in her article about this topic, discusses the supervaluationist semantics of vague predicates and its criticism offered by Fodor and Lepore. She argues that neither the former nor latter approach is consistent with the scientific methodology of dealing with vague concepts such as “obese”. In actual fact, it is Frege’s philosophical approach that concepts must have sharp boundaries, which is the closest to scientific practice. In this context, rough set theory can be viewed as a modified supervaluationist semantics. To be more precise, rough sets provide a modal version of this semantics, where the super-truth is replaced by a local one. However, there are flies in the ointment: firstly, rough set theory is philosophically weaker than supervaluationism (in consequence, more vulnerable to the criticism of Fodor and Lepore); secondly, Weiner’s arguments concerning scientific methods apply to rough sets as well. Yet there is also good news: this philosophical weakness stays actually in full accordance with scientific practice. Thus, rough set theory may be seen as a supervaluationism shifted toward the scientific methodology. In the chapter we shall make a further step into this direction and also present how rough set theory would be like when made fully consistent with the scientific approach to vague predicates. In other words, we also offer a Fregean rough set methodology.

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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
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. Bazan, J., Skowron, A., Świniarski, R.: Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets V. LNCS, vol. 4100, pp. 39–62. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  2. Fine, K.: Vagueness, truth and logic. Synthese 30(3-4), 265–300 (1975)

    Article  MATH  Google Scholar 

  3. Fodor, J.A., Lepore, E.: What cannot be evaluated cannot be evaluated and it cannot be superevaluated either. The Journal of Philosophy 93(10), 516–535 (1996)

    Article  MathSciNet  Google Scholar 

  4. Frege, G.: The Basic Laws of Arithmetic: Exposition of the System. In: Furth, M. (ed.) Trans., vol. I. University of California Press, Los Angeles (1964)

    Google Scholar 

  5. Frege, G.: Posthumous Writings. In: Kambartel, H., Kaulbach (eds.) Trans. Long and White. Basil Blackwell, Oxford (1979)

    Google Scholar 

  6. Keefe, R.: Theories of Vagueness. Cambridge Studies in Philosophy. Cambridge University Press (2000)

    Google Scholar 

  7. Kremer, P., Kremer, M.: Some supervaluation-based consequence relations. Journal of Philosophical Logic 32(3), 225–244 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  8. Marek, W., Pawlak, Z.: Information storage and retrieval systems, mathematical foundations. Theoretical Computer Science 1(4), 331–354 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  9. Pawlak, Z.: Rough sets. Int. J. Computer and Information Sci. 11, 341–356 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  10. Pawlak, Z.: Rough logic. Bull. Polish Acad. Sc (Tech. Sc.) 35(5-6), 253–258 (1987)

    MathSciNet  MATH  Google Scholar 

  11. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publisher, Dordrecht (1991)

    MATH  Google Scholar 

  12. Pawlak, Z.: An inquiry into vagueness and uncertainty. Institute of Computer Science Report 29/94. Warsaw University of Technology (1994)

    Google Scholar 

  13. Peters, J.F.: Near sets. Special theory about nearness of objects. Fundamenta Informaticae 75, 407–433 (2007)

    MathSciNet  MATH  Google Scholar 

  14. Peters, J.F., Skowron, A., Stepaniuk, J.: Nearness of objects: Extension of approximation space model. Fundamenta Informaticae 79, 497–512 (2007)

    MathSciNet  MATH  Google Scholar 

  15. Skowron, A.: Rough sets and vague concepts. Fundamenta Informaticae 64(1-4), 417–431 (2005)

    MathSciNet  MATH  Google Scholar 

  16. Skowron, A., Świniarski, R.W.: Rough Sets and Higher Order Vagueness. In: Ślęzak, D., Wang, G., Szczuka, M.S., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 33–42. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  17. Weiner, J.: Frege in Perspective. Cornell University Press, Ithaca (1990)

    MATH  Google Scholar 

  18. Weiner, J.: Has Frege a philosophy of language? In: Tait, W. (ed.) Early Analytic Philosophy: Essays in Honor of Leonard Linski. Open Court Press (1997)

    Google Scholar 

  19. Weiner, J.: Science and semantics: the case of vagueness and supervaluation. Pacific Philosophical Quarterly 88(3), 355–374 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marcin Wolski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Wolski, M. (2013). Science and Semantics: A Note on Rough Sets and Vagueness. In: Skowron, A., Suraj, Z. (eds) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30344-9_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30344-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30343-2

  • Online ISBN: 978-3-642-30344-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics