Journal
APPLIED SOFT COMPUTING
Volume 102, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2021.107118
Keywords
Network teaching; E-learning website; Linguistic hesitant fuzzy set; Best-worst method; TODIM method
Categories
Funding
- National Natural Science Foundation of China [61773250]
- Fundamental Research Funds for the Central Universities [22120200416]
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This article introduces a new integrated MCDM approach based on linguistic hesitant fuzzy sets and the TODIM method for evaluating and selecting the best e-learning website in order to solve the complex multi-criteria decision-making problem in network teaching. Empirical results demonstrate that the proposed method is more practical and effective in addressing the e-learning website selection problem.
Network teaching has been widely developed under the influence of COVID-19 pandemic to guarantee the implementation of teaching plans and protect the learning rights of students. Selecting a particular website for network teaching can directly affects end users' performance and promote network teaching quality. Normally, e-learning website selection can be considered as a complex multi-criteria decision making (MCDM) problem, and experts' evaluations over the performance of e-learning websites are often imprecise and fuzzy due to the subjective nature of human thinking. In this article, we propose a new integrated MCDM approach on the basis of linguistic hesitant fuzzy sets (LHFSs) and the TODIM (an acronym in Portuguese of interactive and multi-criteria decision making) method to evaluate and select the best e-learning website for network teaching. This introduced method deals with the linguistic assessments of experts based on the LHFSs, determines the weights of evaluation criteria with the best-worst method (BWM), and acquires the ranking of e-learning websites utilizing an extended TODIM method. The applicability and superiority of the presented linguistic hesitant fuzzy TODIM (LHF-TODIM) approach are demonstrated through a realistic e-learning website selection example. Results show that the LHF-TODIM model being proposed is more practical and effective for solving the e-learning website selection problem under vague and uncertain linguistic environment. (C) 2021 Elsevier B.V. All rights reserved.
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