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Symmetry
Volume 12
Issue 6
10.3390/sym12060928
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Article

A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection

by
Kristina Jaukovic Jocic
1,
Goran Jocic
1,
Darjan Karabasevic
1,*,
Gabrijela Popovic
1,
Dragisa Stanujkic
2,
Edmundas Kazimieras Zavadskas
3 and
Phong Thanh Nguyen
4
1
Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska 24, 11000 Belgrade, Serbia
2
Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia
3
Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT 10223 Vilnius, Lithuania
4
Department of Project Management, Ho Chi Minh City Open University, Ho Chi Minh City 7000000, Vietnam
*
Author to whom correspondence should be addressed.
Symmetry 2020, 12(6), 928; https://doi.org/10.3390/sym12060928
Submission received: 14 May 2020 / Revised: 28 May 2020 / Accepted: 1 June 2020 / Published: 2 June 2020
(This article belongs to the Special Issue Symmetric and Asymmetric Data in Solution Models)
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Abstract

The development of information and communication technologies has revolutionized and changed the way we do business in various areas. The field of education did not remain immune to the mentioned changes; there was a gradual integration of the educational process and the mentioned technologies. As a result, platforms for distance learning, as well as the organization of e-learning courses of various types, have been developed. The rapid development of e-learning courses has led to the problem of e-learning course selection and evaluation. The problem of the e-learning course selection can be successfully solved by using multiple-criteria decision-making (MCDM) methods. Therefore, the aim of the paper is to propose an integrated approach based on the MCDM methods and symmetry principles for e-learning course selection. The pivot pairwise relative criteria importance assessment (PIPRECIA) method is used for determining the weights of criteria, and the interval-valued triangular fuzzy additive ratio assessment (ARAS) method is used for the ranking of alternatives i.e., e-learning courses. The suitability of the proposed integrated model is demonstrated through a numerical case study.
Keywords: ARAS; interval-valued triangular fuzzy numbers; e-learning courses; MCDM ARAS; interval-valued triangular fuzzy numbers; e-learning courses; MCDM

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MDPI and ACS Style

Jaukovic Jocic, K.; Jocic, G.; Karabasevic, D.; Popovic, G.; Stanujkic, D.; Zavadskas, E.K.; Thanh Nguyen, P. A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection. Symmetry 2020, 12, 928. https://doi.org/10.3390/sym12060928

AMA Style

Jaukovic Jocic K, Jocic G, Karabasevic D, Popovic G, Stanujkic D, Zavadskas EK, Thanh Nguyen P. A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection. Symmetry. 2020; 12(6):928. https://doi.org/10.3390/sym12060928

Chicago/Turabian Style

Jaukovic Jocic, Kristina, Goran Jocic, Darjan Karabasevic, Gabrijela Popovic, Dragisa Stanujkic, Edmundas Kazimieras Zavadskas, and Phong Thanh Nguyen. 2020. "A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection" Symmetry 12, no. 6: 928. https://doi.org/10.3390/sym12060928

APA Style

Jaukovic Jocic, K., Jocic, G., Karabasevic, D., Popovic, G., Stanujkic, D., Zavadskas, E. K., & Thanh Nguyen, P. (2020). A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection. Symmetry, 12(6), 928. https://doi.org/10.3390/sym12060928

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