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Generalized Net Model for Adaptive Electronic Assessment, Using Intuitionistic Fuzzy Estimations

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Computational Intelligence, Theory and Applications

Part of the book series: Advances in Soft Computing ((AINSC,volume 33))

Abstract

A generalized net model with intuitionistic fuzzy estimations has been constructed in order to simulate electronic adaptive assessment of students. The final mark is determined on the basis of a set of such assessment units as the problem, the test, or the examination. Each assessment unit has been associated with weight coefficients, represented by intuitionistic fuzzy estimations, determining the unit’s importance.

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References

  1. Atanassov K (1999) Intuitionistic Fuzzy Sets, Springer Physica-Verlag, Heidelberg.

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  2. Atanassov K (1991) Generalized Nets, World Scientific, Singapore.

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Author information

Authors and Affiliations

  1. KvB Institute of Technology, North Sydney, 2060, Australia

    Anthony Shannon

  2. Free University of Bourgas, Bourgas, 8000, Bulgaria

    Daniela Langova-Orozova

  3. “Prof. Asen Zlatarov” University, Bourgas, 8000, Bulgaria

    Evdokia Sotirova

  4. CLBME -Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl. 105, Sofia, 1113, Bulgaria

    Krassimir Atanassov

  5. CETAV - University of Tras-os-Montes e Alto Douro, Ap. 1014, 5001-911, Vila Real, Portugal

    Pedro Melo-Pinto

  6. Institute of Science Education, Kongju National University, Kongju, 314-701, South Korea

    Taekyun Kim

Authors
  1. Anthony Shannon
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  2. Daniela Langova-Orozova
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  3. Evdokia Sotirova
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  4. Krassimir Atanassov
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  5. Pedro Melo-Pinto
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  6. Taekyun Kim
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Editor information

Editors and Affiliations

  1. Department of Computer Science 1, University of Dortmund, FB 8 Ektrotechnik FB Informatik LS Informatik I, Postfach 50 05 00, 44221, Dortmund, Germany

    Bernd Reusch

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© 2005 Springer-Verlag Berlin Heidelberg

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Shannon, A., Langova-Orozova, D., Sotirova, E., Atanassov, K., Melo-Pinto, P., Kim, T. (2005). Generalized Net Model for Adaptive Electronic Assessment, Using Intuitionistic Fuzzy Estimations. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_26

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  • DOI: https://doi.org/10.1007/3-540-31182-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22807-3

  • Online ISBN: 978-3-540-31182-9

  • eBook Packages: EngineeringEngineering (R0)

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