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Comprehensive Assessment of Distance Learning Modules by Fuzzy AHP-TOPSIS Method

Author

Listed:
  • Svajone Bekesiene

    (General Jonas Zemaitis Military Academy of Lithuania, Silo 5a, LT- 10322 Vilnius, Lithuania)

  • Aidas Vasilis Vasiliauskas

    (General Jonas Zemaitis Military Academy of Lithuania, Silo 5a, LT- 10322 Vilnius, Lithuania)

  • Šárka Hošková-Mayerová

    (Department of Mathematics and Physics, University of Defence in Brno, Kounicova 65, 662 10 Brno, Czech Republic)

  • Virgilija Vasilienė-Vasiliauskienė

    (Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

This survey is focussed on distance learning studies, where there can be met a lot of technical obstacles, which creates complications in decision making. To get an ideal solution for these kinds of problems, the Fuzzy TOPSIS (Technique for Order Preference by Similarities to Ideal Solution) is one of the best solutions. Therefore, this paper presents the distance learning quality assessment surveys when the Fuzzy AHP (Analytic Hierarchy Process) and TOPSIS methods are used. Research results describe the application of the Fuzzy AHP—TOPSIS hybrid method. MCDM (Multi-Criteria Decision Making) programs with MATLAB (R2020b) mathematical package were written to calculate the evaluation results for three distance learning courses. In the practical implementation of the proposed distance learning module evaluation methodology, the experts’ evaluation method was applied. Thirty-four judges were chosen with specific knowledge and skills and with very different competencies to assess three alternatives by fourteen criteria. Following the experts’ evaluation, a statistical analysis method was used to process the data. After applying the complex evaluation, the comparative analysis method was used to summarize the obtained results. This work further provides useful guidelines for the development of an easily understandable hierarchy of criteria model that reflects the main goal of study quality assessment.

Suggested Citation

  • Svajone Bekesiene & Aidas Vasilis Vasiliauskas & Šárka Hošková-Mayerová & Virgilija Vasilienė-Vasiliauskienė, 2021. "Comprehensive Assessment of Distance Learning Modules by Fuzzy AHP-TOPSIS Method," Mathematics, MDPI, vol. 9(4), pages 1-25, February.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:4:p:409-:d:502371
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    References listed on IDEAS

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    1. Chan, Lai-Kow & Wu, Ming-Lu, 2005. "A systematic approach to quality function deployment with a full illustrative example," Omega, Elsevier, vol. 33(2), pages 119-139, April.
    2. Edmundas Kazimieras Zavadskas & Valentinas Podvezko, 2016. "Integrated Determination of Objective Criteria Weights in MCDM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 267-283, March.
    3. Meimei Xia & Zeshui Xu, 2014. "A Novel Method for Fuzzy Multi-Criteria Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 497-519.
    4. Goumas, M. & Lygerou, V., 2000. "An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects," European Journal of Operational Research, Elsevier, vol. 123(3), pages 606-613, June.
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    Cited by:

    1. Liangkun Fang & Zhangjie Wu & Yuan Tao & Jinfeng Gao, 2023. "Light Pollution Index System Model Based on Markov Random Field," Mathematics, MDPI, vol. 11(13), pages 1-18, July.

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