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

Kristina Jaukovic Jocic, Goran Jocic, Darjan Darjan, Gabrijela Popovic, Dragisa Stanujkic, Edmundas Kazimieras Zavadskas and Phong Nguyen

MPRA Paper from University Library of Munich, Germany

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 (search for similar items in EconPapers)
JEL-codes: C44 C6 D7 D81 I23 (search for similar items in EconPapers)
Date: 2020-05-14, Revised 2020-06-01
New Economics Papers: this item is included in nep-ict
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Citations: View citations in EconPapers (2)

Published in symmetry 928.12(2020): pp. 01-14

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