Skip to main content

A Proposal of Probability of Rough Event Based on Probability of Fuzzy Event

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2475))

Abstract

Probability and fuzziness are different measures for dealing with different uncertainties in which they be able to be combined and considered as a complementary tool. In this paper, the relationship be-tween probability and fuzziness are discussed based on the process of perception. In probability, set theory is used to provide a language for modeling and describing random experiments. Here, as a generalization of crisp set, fuzzy set is used to model fuzzy event as defined by Zadeh. Similarly, rough set can be also used to represent rough event in terms of probability measure. Special attention will be given to conditional prob-ability of fuzzy event as well as conditional probability of rough event. Their several combinations of formulation and properties are defined.

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. Intan, R., Mukaidono, M., ‘Conditional Probability Relations in Fuzzy Relational Database’, Proceedings of RSCTC’00, LNAI 2005, Springer & Verlag, (2000), pp. 251–260.

    Google Scholar 

  2. Intan, R., Mukaidono, M., Yao, Y.Y., ‘Generalization of Rough Sets with α-coverings of the Universe Induced by Conditional Probability Relations’, Proceedings of International Workshop on Rough Sets and Granular Computing, LNAI 2253, Springer & Verlag, (2001), pp. 311–315.

    Google Scholar 

  3. Klir, G.J., Yuan, B., Fuzzy Sets and Fuzzy Logic: Theory and Applications, (Prentice Hall, New Jersey, 1995).

    MATH  Google Scholar 

  4. Kosko, B., ‘Fuzziness VS. Probability’, International Journal of General Systems, Vol 17, pp. 211–240.

    Google Scholar 

  5. Nguyen, H. T., ‘On Fuzziness and Linguistic Probabilities’, Journal of Mathematical Analysis and Applications, 61, pp. 658–671.

    Google Scholar 

  6. Pawlak, Z. (1982) Rough sets, International Journal Computation & Information Science, 11, pp. 341–356.

    Article  MATH  MathSciNet  Google Scholar 

  7. Yao, Y.Y. (1996) Two views of the theory of rough sets in finite universe, International Journal of Approximate Reasoning 15, pp. 291–317.

    Article  MATH  MathSciNet  Google Scholar 

  8. Zadeh, L.A., ‘Fuzzy Sets and Systems’, International Journal of General Systems, Vol 17, (1990), pp. 129–138.

    Article  Google Scholar 

  9. Zadeh, L.A., ‘Probability Measures of Fuzzy Events’, Journal of Mathematical Analysis and Applications, Vol 23, (1968), pp. 421–427.

    Article  MATH  MathSciNet  Google Scholar 

  10. Zadeh, L.A., ‘Discussion: Probability Theory and Fuzzy Logic Are Complementary Rather Than Competitive’, Technometrics, Vol 37, No.3, (1995), pp. 271–276.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Intan, R., Mukaidono, M. (2002). A Proposal of Probability of Rough Event Based on Probability of Fuzzy Event. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_47

Download citation

  • DOI: https://doi.org/10.1007/3-540-45813-1_47

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44274-5

  • Online ISBN: 978-3-540-45813-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics