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Title: A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection
Authors: Jocic, Kristina Jaukovic
Jocic, Goran
Karabasevic, Darjan
Popovic, Gabrijela
Stanujkic, Dragisa
Zavadskas, Edmundas Kazimieras
Nguyen, Phong Thanh
Keywords: ARAS
interval-valued triangular fuzzy numbers
e-learning courses
MCDM
Issue Date: 2020
Publisher: MDPI
Citation: 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.
Series/Report no.: 12;6
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.
Description: This article belongs to the Special Issue Symmetric and Asymmetric Data in Solution Models
URI: http://dspace.vgtu.lt/handle/1/4097
ISSN: 2073-8994
Appears in Collections:Moksliniai straipsniai / Research articles

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