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Intuitionistic Fuzzy Evaluations for the Analysis of a Student’s Knowledge in University e-Learning Courses

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Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 757))

Abstract

In the paper is proposed a method for evaluation of the student’s knowledge obtained in the university e-learning courses. For the assessment of the student’s solution of the respective assessment units the theory of intuitionistic fuzzy sets is used. The obtained intuitionistic fuzzy estimations reflect the degree of each student’s good performances, or poor performances, for each assessment unit. We also consider a degree of uncertainty that represents such cases where the student is currently unable to solve the problem. The method presented here provides the possibility for the algorithmization of the process of forming the student’s evaluations.

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Author information

Authors and Affiliations

  1. Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, Burgas, Bulgaria

    Evdokia Sotirova

  2. Resident Fellow, Warrane College, The University of New South Wales, Kensington, NSW, Australia

    Anthony Shannon

  3. Division of General Education-Mathematics, Kangwoon University, Seoul, Korea

    Taekyun Kim

  4. Systems Research Institute, Polish Academy of Sciences Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

  5. CITAB, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Pedro Melo-Pinto

  6. Faculty of Natural Sciences, Matej Bel University, Banská Bystrica, Slovakia

    Beloslav Riečan

  7. Mathematical Institute, Slovak Academy of Sciences, Bratislava, Slovakia

    Beloslav Riečan

Authors
  1. Evdokia Sotirova
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  2. Anthony Shannon
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  3. Taekyun Kim
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  4. Maciej Krawczak
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  5. Pedro Melo-Pinto
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  6. Beloslav Riečan
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Corresponding author

Correspondence to Evdokia Sotirova .

Editor information

Editors and Affiliations

  1. University of Chemical Technology and Metalurgy, Sofia, Bulgaria

    M Hadjiski

  2. Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K T Atanassov

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Sotirova, E., Shannon, A., Kim, T., Krawczak, M., Melo-Pinto, P., Riečan, B. (2019). Intuitionistic Fuzzy Evaluations for the Analysis of a Student’s Knowledge in University e-Learning Courses. In: Hadjiski, M., Atanassov, K. (eds) Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications. Studies in Computational Intelligence, vol 757. Springer, Cham. https://doi.org/10.1007/978-3-319-78931-6_6

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