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

Author

Listed:
  • Jaukovic Jocic, Kristina
  • Jocic, Goran
  • Darjan, Darjan
  • Popovic, Gabrijela
  • Stanujkic, Dragisa
  • Kazimieras Zavadskas, Edmundas
  • Nguyen, Phong Thanh

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.

Suggested Citation

  • Jaukovic Jocic, Kristina & Jocic, Goran & Darjan, Darjan & Popovic, Gabrijela & Stanujkic, Dragisa & Kazimieras Zavadskas, Edmundas & Nguyen, Phong Thanh, 2020. "A Novel Integrated PIPRECIA–Interval-Valued Triangular Fuzzy ARAS Model: E-Learning Course Selection," MPRA Paper 112009, University Library of Munich, Germany, revised 01 Jun 2020.
    • Handle: RePEc:pra:mprapa:112009
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    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Dragisa STANUJKIC & Edmundas Kazimieras ZAVADSKAS & Darjan KARABASEVIC & Florentin SMARANDACHE & Zenonas TURSKIS, 2017. "The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 116-133, December.
    3. Chitrasen Samantra & Nitin Kumar Sahu & Saurav Datta & Siba Sankar Mahapatra, 2013. "Decision-making in selecting reverse logistics alternative using interval-valued fuzzy sets combined with VIKOR approach," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 14(2), pages 175-196.
    4. Dragisa Stanujkic & Edmundas Kazimieras Zavadskas & Darjan Karabasevic & Zenonas Turskis & Violeta Keršulienė, 2017. "New group decision-making ARCAS approach based on the integration of the SWARA and the ARAS methods adapted for negotiations," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(4), pages 599-618, July.
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    Cited by:

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    2. Stefano Brogi & Tamara Menichini, 2024. "The pathway towards circular economy: Measuring circular advantage of eco‐innovations," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 3005-3038, May.

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    More about this item

    Keywords

    ARAS; interval-valued triangular fuzzy numbers; e-learning courses; MCDM;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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