Intuitionistic fuzzy evaluations for the analysis of a student’s knowledge in university e-learning courses

Sotirova, E; Shannon, A; Kim, T; Krawczak, M; Melo-Pinto, P; Riečan, B

Intuitionistic fuzzy evaluations for the analysis of a student’s knowledge in university e-learning courses

Sotirova, E Shannon, A

Kim, T Krawczak, M Melo-Pinto, P Riečan, B

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Publisher:: Springer International Publishing
Publication Type:: Chapter
Citation:: Studies in Computational Intelligence, 2019, 757, pp. 95-100
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Sotirova, E
dc.contributor.author	Shannon, A https://orcid.org/0000-0003-0116-0666
dc.contributor.author	Kim, T
dc.contributor.author	Krawczak, M
dc.contributor.author	Melo-Pinto, P
dc.contributor.author	Riečan, B
dc.date.accessioned	2020-05-27T02:44:46Z
dc.date.available	2020-05-27T02:44:46Z
dc.date.issued	2019-01-01
dc.identifier.citation	Studies in Computational Intelligence, 2019, 757, pp. 95-100
dc.identifier.isbn	9783319789309
dc.identifier.uri	http://hdl.handle.net/10453/140968
dc.description.abstract	© Springer International Publishing AG, part of Springer Nature 2019. 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.
dc.language	en
dc.publisher	Springer International Publishing
dc.relation.ispartof	Studies in Computational Intelligence
dc.relation.isbasedon	10.1007/978-3-319-78931-6_6
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Intuitionistic fuzzy evaluations for the analysis of a student’s knowledge in university e-learning courses
dc.type	Chapter
utslib.citation.volume	757
utslib.for	0102 Applied Mathematics
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-05-27T02:44:42Z
pubs.publication-status	Published
pubs.volume	757
utslib.start-page	95

Abstract:

© Springer International Publishing AG, part of Springer Nature 2019. 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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http://hdl.handle.net/10453/140968