Skip to main content

Soft Set Theoretic Approach for Discovering Attributes Dependency in Information Systems

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6064))

Abstract

This paper presents the applicability of soft set theory for discovering attribute dependency in multi-valued information systems. The proposed approach is based on the notion of multi-soft sets. An inclusion of value sets in soft set theory is used to discover degree of attributes dependency. The results obtained are equivalent to the rough attributes dependency.

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   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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences (177) 1, 3–27 (2007)

    Google Scholar 

  2. Ziarko, W.: The Discovery, Analysis, and Representation of Data Dependencies in Databases. In: Knowledge Discovery in Databases, pp. 195–212 (1991)

    Google Scholar 

  3. Ziarko, W., Shan, N.: Discovering attribute relationships, dependencies and rules by using rough sets. HICSS (3), 293–299 (1995)

    Google Scholar 

  4. Düntsch, I., Gediga, G.: Statistical evaluation of rough set dependency analysis. International Journal of Human Computer Studies 46, 589–604 (1997)

    Article  Google Scholar 

  5. Düntsch, I., Gediga, G.: Algebraic Aspects of Attribute Dependencies in Information Systems. Fundamenta Informaticae 29(1-2), 119–133 (1997)

    MATH  MathSciNet  Google Scholar 

  6. Ziarko, W.: Dependencies in Structures of Decision Tables. RSEISP, 113–121 (2007)

    Google Scholar 

  7. Molodtsov, D.: Soft set theory-first results. Computers and Mathematics with Applications 37, 19–31 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  8. Herawan, T., Mustafa, M.D.: A direct proof of every rough set is a soft set. In: Proceedings of the Third Conference of AMS 2009, pp. 119–124 (2009)

    Google Scholar 

  9. Herawan, T., Mustafa, M.D.: On Multi-soft Sets Construction in Information Systems. In: Huang, D.-S., Jo, K.-H., Lee, H.-H., Kang, H.-J., Bevilacqua, V. (eds.) ICIC 2009. LNCS, vol. 5755, pp. 101–110. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Herawan, T., Rose, A.N.M., Mat Deris, M. (2010). Soft Set Theoretic Approach for Discovering Attributes Dependency in Information Systems. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13318-3_73

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13318-3_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13317-6

  • Online ISBN: 978-3-642-13318-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics