Interval Valued Intuitionistic Fuzzy Evaluations for Analysis of Students’ Knowledge

Sotirova, E; Shannon, A; Atanassova, V; Atanassov, K; Bureva, V

Interval Valued Intuitionistic Fuzzy Evaluations for Analysis of Students’ Knowledge

Sotirova, E Shannon, A

Atanassova, V Atanassov, K Bureva, V

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Publisher:: Springer International Publishing
Publication Type:: Chapter
Citation:: Studies in Computational Intelligence, 2020, 862, pp. 75-82
Issue Date:: 2020-01-01

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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	Atanassova, V
dc.contributor.author	Atanassov, K
dc.contributor.author	Bureva, V
dc.date.accessioned	2021-05-26T22:56:28Z
dc.date.available	2021-05-26T22:56:28Z
dc.date.issued	2020-01-01
dc.identifier.citation	Studies in Computational Intelligence, 2020, 862, pp. 75-82
dc.identifier.isbn	9783030354442
dc.identifier.uri	http://hdl.handle.net/10453/149249
dc.description.abstract	In the paper is proposed a method for evaluation of 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 and interval valued 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 and for all units.
dc.language	en
dc.publisher	Springer International Publishing
dc.relation.ispartof	Studies in Computational Intelligence
dc.relation.isbasedon	10.1007/978-3-030-35445-9_6
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Interval Valued Intuitionistic Fuzzy Evaluations for Analysis of Students’ Knowledge
dc.type	Chapter
utslib.citation.volume	862
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2021-05-26T22:56:26Z
pubs.publication-status	Published
pubs.volume	862

Abstract:

In the paper is proposed a method for evaluation of 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 and interval valued 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 and for all units.

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http://hdl.handle.net/10453/149249