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Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel-Alsina power aggregation operators: A case review for China

Author

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  • Lijun Ma
  • Zeeshan Ali
  • Shi Yin

Abstract

A learning management system (LMS) is a web-based application or software platform computed to facilitate the development, tracking, management, reporting, and delivery of education and training programs. Many valuable and dominant factors are working behind the Learning Management System (LMS), but no one can find which factor is most important and valuable for LMS during COVID-19 among the following five alternatives, called Improved Accessibility, Blended Learning, Collaboration and Communications, Assessment and Evaluation, and Administrative Efficiency. For this, first, we derive the techniques of bipolar complex hesitant fuzzy (BCHF) sets, and then we evaluate some flexible operational laws, called Algebraic operational laws and Aczel-Alsina operational laws. Secondly, using the above techniques, we elaborate the technique of BCHF Aczel-Alsina power averaging (BCHFAAPA), BCHF Aczel-Alsina power weighted averaging (BCHFAAPWA), BCHF Aczel-Alsina power geometric (BCHFAAPG), and BCHF Aczel-Alsina power weighted geometric (BCHFAAPWG) operators. Some basic properties are also investigated for each proposed operator. Further, to evaluate the problem concerning LMS, we compute the multi-attribute decision-making (MADM) techniques for invented operators. Finally, we select some prevailing operators and try to compare their ranking results with our proposed results to enhance the worth and capability of the invented theory.

Suggested Citation

  • Lijun Ma & Zeeshan Ali & Shi Yin, 2024. "Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel-Alsina power aggregation operators: A case review for China," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-30, April.
    • Handle: RePEc:plo:pone00:0300317
    DOI: 10.1371/journal.pone.0300317
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    References listed on IDEAS

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    1. Tahir Mahmood & Ubaid ur Rehman & Zeeshan Ali, 2020. "Exponential and non-Exponential Based Generalized Similarity Measures for Complex Hesitant Fuzzy Sets with Applications," Fuzzy Information and Engineering, Taylor & Francis Journals, vol. 12(1), pages 38-70, January.
    2. Ronnason Chinram & Tahir Mahmood & Ubaid Ur Rehman & Zeeshan Ali & Aiyared Iampan & Sami Ullah Khan, 2021. "Some Novel Cosine Similarity Measures Based on Complex Hesitant Fuzzy Sets and Their Applications," Journal of Mathematics, Hindawi, vol. 2021, pages 1-20, January.
    3. Hanan H. Sakr & Abdisalam Hassan Muse & Mohamed S. Mohamed & Saieed F. Ateya & Jun Ye, 2023. "Applications on Bipolar Vague Soft Sets," Journal of Mathematics, Hindawi, vol. 2023, pages 1-25, March.
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