Interval valued intuitionistic fuzzy evaluations for analysis of a student's knowledge in university e-learning courses

Kim, T; Sotirova, E; Shannon, A; Atanassova, V; Atanassov, K; Jang, LC

Interval valued intuitionistic fuzzy evaluations for analysis of a student's knowledge in university e-learning courses

Kim, T Sotirova, E Shannon, A

Atanassova, V Atanassov, K Jang, LC

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Publication Type:: Journal Article
Citation:: International Journal of Fuzzy Logic and Intelligent Systems, 2018, 18 (3), pp. 190 - 195
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Kim, T	en_US
dc.contributor.author	Sotirova, E	en_US
dc.contributor.author	Shannon, A https://orcid.org/0000-0003-0116-0666	en_US
dc.contributor.author	Atanassova, V	en_US
dc.contributor.author	Atanassov, K	en_US
dc.contributor.author	Jang, LC	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	International Journal of Fuzzy Logic and Intelligent Systems, 2018, 18 (3), pp. 190 - 195	en_US
dc.identifier.issn	1598-2645	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132073
dc.description.abstract	© The Korean Institute of Intelligent Systems. In the paper a method is proposed for evaluation of the students' knowledge obtained in the university e-learning courses and an evaluation of the whole student class. For the assessment of the student's solution of the respective assessment units the theory of intuitionistic fuzzy sets is used, while for the class evaluation, interval valued intuitionistic fuzzy sets is used. The obtained intuitionistic fuzzy estimations reflect the degree of each student's good or poor performances, for each assessment unit. The interval valued intuitionistic fuzzy evaluations are based on the separate student's evaluations. We also consider a degree of uncertainty that represents such cases wherein 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.	en_US
dc.relation.ispartof	International Journal of Fuzzy Logic and Intelligent Systems	en_US
dc.relation.isbasedon	10.5391/IJFIS.2018.18.3.190	en_US
dc.title	Interval valued intuitionistic fuzzy evaluations for analysis of a student's knowledge in university e-learning courses	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	18	en_US
utslib.for	0199 Other Mathematical Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	18	en_US

Abstract:

© The Korean Institute of Intelligent Systems. In the paper a method is proposed for evaluation of the students' knowledge obtained in the university e-learning courses and an evaluation of the whole student class. For the assessment of the student's solution of the respective assessment units the theory of intuitionistic fuzzy sets is used, while for the class evaluation, interval valued intuitionistic fuzzy sets is used. The obtained intuitionistic fuzzy estimations reflect the degree of each student's good or poor performances, for each assessment unit. The interval valued intuitionistic fuzzy evaluations are based on the separate student's evaluations. We also consider a degree of uncertainty that represents such cases wherein 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/10453/132073