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Abstract

This paper deals with a fuzzy expert system for evaluating teachers in e-learning. The special fuzzy expert system for evaluating teacher using satisfaction questionnaire with evaluative linguistic expressions and separate knowledge bases of expert system is proposed. Proposed expert system was created using Linguistic Fuzzy Logic Controller. In the proposed fuzzy expert system the theory of Natural Fuzzy Logic is applied.

Keywords

e-learning system Evaluation Fuzzy expert system Fuzzy logic Questionnaire Student Teacher 

Notes

Acknowledgment

This work was supported by the project “LQ1602 IT4Innovations excellence in science” and during the completion of a Student Grant SGS02/UVAFM/2016 with student participation, supported by the Czech Ministry of Education, Youth and Sports.

References

  1. 1.
    De Nicola, Antonio, Missikoff, Michele, Schiappelli, Frederica: Towards an ontological support for elearning courses. In: Corsaro, Angelo, Meersman, Robert, Tari, Zahir (eds.) OTM-WS 2004. LNCS, vol. 3292, pp. 773–777. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  2. 2.
    Gruber, T.R.: A translation approach to portable ontologies. Knowl. Acquisition 55(2), 199–220 (1993)CrossRefGoogle Scholar
  3. 3.
    Walek, B., Bartoš, J., Klimeš, C.: Expert system for evaluating courses in distance learning systems. In: 3rd International Conference on Innovative Computing Technology, INTECH 2013, London, pp. 246–251 (2013)Google Scholar
  4. 4.
    Huang, M., Huang, H., Chen, M.: Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach. Expert Syst. Appl. 33(3), 551–564 (2007)CrossRefGoogle Scholar
  5. 5.
    Tzouveli, P., Mylonas, P., Kollias, S.: An intelligent e-learning system based on learner profiling and learning resources adaptation. Comput. Educ. 51(1), 224–238 (2008)CrossRefGoogle Scholar
  6. 6.
    Woolf, B.P.: Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing e-Learning. Elsevier Inc., Burlington (2009), ch. 1, 6, 7, 9Google Scholar
  7. 7.
    Gladun, A., Rogushina, J., Garcia-Sanchez, F., Martínez-Béjar, R., Fernández-Breis, J.T.: An application of intelligent techniques and semantic web technologies in e-learning environments. Expert Syst. Appl. 36(2), 1922–1931 (2009)CrossRefGoogle Scholar
  8. 8.
    Klimeš, C.: Model of adaptation under indeterminacy. Kybernetika 47(3), 355–368 (2011). PraguezbMATHGoogle Scholar
  9. 9.
    Walek, B., Bartoš, J.: Expert system for selection of suitable job applicants. In: Proceedings of the 11th International FLINS Conference, pp. 68–73. World Scientific Publishing Co. Pte, Ltd., Singapore (2014)Google Scholar
  10. 10.
    Walek, B., Bartoš, J., Smolka, P., Masár, J., Procházka, J., Klimeš, C.: Creating component model of information system under uncertainty. In: 18th International Conference on Soft Computing Mendel 2012, Brno, pp. 221–226 (2012)Google Scholar
  11. 11.
    Walek, B., Bartoš, J., Klimeš, C.: Process-oriented component modeling under uncertainty. In: AWER Procedia Information Technology and Computer Science, Istanbul, vol. 1, pp. 940–945 (2013)Google Scholar
  12. 12.
    Walek, B.: Fuzzy tool for customer satisfaction analysis in CRM systems. In: 36th International Conference on Telecommunications and Signal Processing, TSP 2013, Rome, pp. 11–14 (2013)Google Scholar
  13. 13.
    Habiballa, H., Novák, V., Dvořák, A., Pavliska, V.: Using software package LFLC 2000. In: 2nd International Conference Aplimat 2003, Bratislava, pp. 355–358 (2003)Google Scholar

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Authors and Affiliations

  1. 1.Department of Informatics and ComputersUniversity of OstravaOstravaCzech Republic

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