Skip to main content

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 342))

  • 603 Accesses

Abstract

The work presents the results of practical realization of database and methods. These results are the basic main element on which the work was done to determine the practical efficiency of application intelligent systems in learning process.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Institutional subscriptions

References

  1. Gorbunova, L.G.: On the realization of the rating system in pedagogical high schools. In: Proceedings of 2 International Technical Conference, pp. 105–106. University Education, Penza, Part 1 (1998)

    Google Scholar 

  2. Galushkina, A.I.: Scientific. Neyrokompyutery and their Applications, vol. 4, p. 156. M. IPRZhR (2001)

    Google Scholar 

  3. Galushkin, A.I.: The theory of neural networks. Neurocomputers and their Applications, vol. 1, p. 221. M. IPRZhR (2000)

    Google Scholar 

  4. Golovko, V.A.: Neural networks: learning, organization and applying

    Google Scholar 

  5. Barsky, A.B.: Neural networks: recognition, management, decision-making. Financ. Stat. Moscow 30–63 (2004)

    Google Scholar 

  6. Bellman, R., Zadeh, L.A.: Decision-Making in Ambiguous Circumstances, Issues Analysis and Decision-Making, pp. 180–199. Springer, Berlin (1976)

    Google Scholar 

  7. Bernshteyn, L.S., Bojenyuk, A.V.: Fuzzy Models of Decision Making: Deduction, Induction, Analogy, pp. 78–99. University of Tsure, Taganrog (2001)

    Google Scholar 

  8. Bouchon-Meunier, B., Yager, R.R.: Fuzzy Logic and Soft Computing (Advances in Fuzzy Systems: Application and Theory), pp. 84–93, 103–119. World Scientific, Singapore (1995)

    Google Scholar 

  9. Nikravesh, M., Zadeh, L.A., Kacprzyk, J.: Soft Computing for Information Processing and Analysis, pp. 93–99 (2005)

    Google Scholar 

  10. Nikravesh, M., Aminzadeh, F., Zadeh, L. A.: Soft Computing and Intelligent Data Analysis in Oil Exploration, pp. 273–287 (2003)

    Google Scholar 

  11. Jang, J.S.R., Sun, C.-T.: Neuro-fuzzy modeling and control. In: Proceedings of the IEEE, vol. 83, no. 3, pp. 378–406 (1995)

    Google Scholar 

  12. Hanss, M.: Applied Fuzzy Arithmetic: An Introduction with Engineering Applications, 1 Edn, pp. 100–116, 139–147. Springer, Berlin (2004)

    Google Scholar 

  13. Shahbazova, Sh., Freisleben, B.: A network-based intellectual information system for learning and testing. In: Fourth International Conference on Application of Fuzzy Systems and Soft Computing, pp. 308–313, Siegen, Germany (2000)

    Google Scholar 

  14. Shahbazova, S.N.: Development of the knowledge base learning system for distance education. Int. J. Intell. Syst. 27(4), 343–354 (2012)

    Google Scholar 

  15. Shahbazova, S.N.: Application of fuzzy sets for control of student knowledge, ISSN 1683-3511. Appl. Comput. Math. Int. J. 10(1), 195–208 (2011) (Special Issue on Fuzzy Set Theory and Applications)

    Google Scholar 

  16. Shahbazova, S.N.: Applied research in the field of automation of Learning and knowledge control. Studies in Fuzziness and Soft Computing. In: Soft Computing: State of the Art Theory and Novel Application, pp. 223–240. Springer, (June 2012)

    Google Scholar 

  17. Zadeh, L.A., Kacprzyk, J.: Fuzzy Logic for the Management of Uncertainty, First Printing edition, pp. 75–84. Wiley-Interscience, New York (1992)

    Google Scholar 

  18. Zadeh, L.A., Klir, G.J., Yuan, B.: Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers by Lotfi A. Zadeh, pp. 60–69. World Scientific, Singapore (1996)

    Google Scholar 

  19. Yager, R., Filev, D.: Essentials of Fuzzy Modeling and Control. Wiley, New York (1994)

    Google Scholar 

  20. Zadeh, L.A.: A new approach to the analysis of difficulty systems and decision processes. Math. Today Knowl. 23–37 (1974)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shahnaz N. Shahbazova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Shahbazova, S.N. (2016). Functioning of Control Module of Learning Materials. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-32229-2_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32227-8

  • Online ISBN: 978-3-319-32229-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics