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.
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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.
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Walek, B., Farana, R. (2017). Expert System for Evaluating Teachers in E-Learning Systems. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_73
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DOI: https://doi.org/10.1007/978-3-319-47364-2_73
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