Skip to main content

Interval-Valued Data Structures and Their Application to e-Learning

  • Conference paper
SOFSEM 2005: Theory and Practice of Computer Science (SOFSEM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3381))

Abstract

The paper is devoted to the problem of replacing crisp numbers with interval numbers in soft computations. The original concept of an interval-valued vector (IVV) is introduced, and the new extensions of classic similarity measures are proposed to handle IVV matching. Finally, the presented data structure and the matching methods are used in the process of an automated evaluation of tests in e-learning (distance learning within the Internet).

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cross, V.V., Sudkamp, T.A.: Similarity and Compatibility in Fuzzy Set Theory. Physica-Verlag, c/o Springer, Heidelberg (2002)

    Google Scholar 

  2. Entemann, C.W.: A fuzzy logic with interval truth values. Fuzzy Sets and Systems 113, 162–183 (2000)

    Article  MathSciNet  Google Scholar 

  3. Karnik, N.N., Mendel, J.M.: An Introduction to Type-2 Fuzzy Logic Systems. University of Southern California, Los Angeles (1998)

    Google Scholar 

  4. Moore, R., Lodwick, W.: Interval analysis and fuzzy set theory. Fuzzy Sets and Systems 135, 5–9 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  5. Niewiadomski, A., Szczepaniak, P.S.: Fuzzy Similarity in E-Commerce Domains. In: Segovia, J., Szczepaniak, P.S., Niedzwiedzinski, M. (eds.) E-Commerce and Intelligent Methods. Springer, Heidelberg (2002)

    Google Scholar 

  6. Niewiadomski, A., Grzybowski, R.: Fuzzy measures of text similarity in automated evaluation of exams tests. Therotical and Applied Computer Science 5, 193–200 (2003) (in Polish)

    Google Scholar 

  7. Niewiadomski, A., Jedynak, A., Grzybowski, R.: Automated evaluation of e-tests. In: Proceedings of 4th Ukrainian-Polish Conference Environmental Mechanics, Methods of Computer Science And Simulations, Lviv, Ukraine, June 24-26, pp. 133–140 (2004) (in Polish)

    Google Scholar 

  8. Niewiadomski, A., Rybusinski, B., Sakowski, K., Grzybowski, R.: The application of multivalued similarity relations to automated evaluation of grammar tests. In: Academy On-line — e-learning, methodics, technologies, management (to appear) (in Polish)

    Google Scholar 

  9. Ross, T.J.: Fuzzy Logic with Engineering Applications. McGraw Hill Inc., New York (1995)

    MATH  Google Scholar 

  10. Szczepaniak, P.S., Niewiadomski, A.: Internet Searched Based on Text Intuitionistic Fuzzy Similarity. In: Szczepaniak, P.S., Segovia, J., Kacprzyk, J., Zadeh, L.A. (eds.) Intelligent Exploration of the Web. Physica Verlag, c/o Springer, Heidelberg (2003)

    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

Niewiadomski, A. (2005). Interval-Valued Data Structures and Their Application to e-Learning. In: Vojtáš, P., Bieliková, M., Charron-Bost, B., Sýkora, O. (eds) SOFSEM 2005: Theory and Practice of Computer Science. SOFSEM 2005. Lecture Notes in Computer Science, vol 3381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30577-4_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30577-4_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24302-1

  • Online ISBN: 978-3-540-30577-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics