Skip to main content

A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak’s Information Systems

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3641))

Abstract

In this paper we present a modal logic IND for Pawlak’s information systems giving a modal characterization of 9 informational relations: strong indiscernibility, as well as weak and strong versions of forward and backward informational inclusion, as well as positive and negative similarities. IND extends the logic INF introduced in [4] by adding a modality corresponding to strong indiscernibility relation. The main problem in the modal treating of strong indiscernibility is that its definition is not modally definable. This requires special copying techniques, which in the presence of many interacting modalities presents complications. One of the main aims of the paper is to demonstrate such techniques and to present an information logic complete in the intended semantics and containing almost all natural information relations. It is proved that IND possesses finite model property and hence is decidable.

The work is carried out in the framework of COST Action 274 TARSKI on Theory and Applications of Relational Structures as Knowledge Instruments.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Blackburn, P., de Rijke, M., Venema, Y.: Modal Logic, 53th edn. Cambridge Tracts in Theoretical Computer Science. Cambridge University Press, Cambridge (2001)

    MATH  Google Scholar 

  2. Demri, S., Orlowska, E.: Incomplete information: Structure, Inference, Complexity. Springer, Heidelberg (2002)

    MATH  Google Scholar 

  3. Orlowska, E., Pawlak, Z.: Representation of nondeterministic information. Theoretical Computer Science 29, 27–39 (1984)

    Article  MathSciNet  Google Scholar 

  4. Vakarelov, D.: A Duality Between Pawlak’s Knowledge Representation Systems and Bi-consequence Systems. Studia Logica 55, 205–228 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  5. Vakarelov, D.: Information systems, similarity relations and modal logics. In: Orlowska, E. (ed.) Incomplete information: Rough Set Analysis. Studies in Fuzziness and Soft Computing, vol. 13. Phisica, Heidelberg (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vakarelov, D. (2005). A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak’s Information Systems. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548669_2

Download citation

  • DOI: https://doi.org/10.1007/11548669_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28653-0

  • Online ISBN: 978-3-540-31825-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics