PAVLAČKOVÁ, Martina and Ondřej PAVLAČKA. A fuzzy multi-criteria student - based model for evaluation of university lectures performance. Online. In Proceedings of EDULEARN22 Conference. Valencia, Spain: IATED Academy, 2022, p. 1537 - 1544. ISBN 978-84-09-42484-9. Available from: https://dx.doi.org/10.21125/edulearn.2022.0403.
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Basic information
Original name A fuzzy multi-criteria student - based model for evaluation of university lectures performance
Authors PAVLAČKOVÁ, Martina (203 Czech Republic, belonging to the institution) and Ondřej PAVLAČKA (203 Czech Republic).
Edition Valencia, Spain, Proceedings of EDULEARN22 Conference, p. 1537 - 1544, 8 pp. 2022.
Publisher IATED Academy
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10102 Applied mathematics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Organization unit Moravian Business College Olomouc
ISBN 978-84-09-42484-9
ISSN 2340-1117
Doi http://dx.doi.org/10.21125/edulearn.2022.0403
Keywords in English multi-criteria model; student-based evaluation; lecturers´ performance; fuzzy sets theory.
Tags RIV2023
Changed by Changed by: Ing. Michaela Nováková, učo 5293. Changed: 10/3/2023 07:27.
Abstract
Student-based evaluation of university lecturers´ performance is a complex multi-criteria problem that contains various types of uncertainty. The uncertainty arises when the qualitative criteria are considered which makes the partial evaluation vague and when the importance of criteria cannot be described precisely. The necessity of dealing with uncertainty in student-based evaluation of lecturers´ performance leads to fuzzy decision models since fuzzy sets theory brings a suitable tool for describing and dealing with the uncertainty. In this paper, the fuzzy multi-criteria evaluation model based on the fuzzy weighted average operation will be developed for student-based lecturers´ performance evaluation. The criteria used within the model as well as their importance described by normalized fuzzy weights will be selected based on students' answers in questionnaires and results from team brainstorming. An application of the constructed model will be given to illustrate a practical use of the model in student-based university lecturers´ evaluation.
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