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Model for selecting the teaching model under the mode of MOOC

Zhang Xiaotian


In this paper, we investigate the multiple attribute group decision making problems for selecting the teaching model under the mode of MOOC with linguistic information. We utilize the linguistic weighted geometric (LWG) operator and linguistic hybrid geometric (LHG) operator to aggregate the linguistic information corresponding to each mode of MOOC and get the overall value, then rank all the modes of MOOC and select the most desirable one (s) by using the overall value of the mode of MOOC. Finally, an illustrative example for selecting the teaching model under the mode of MOOC is given to verify the developed approach and to demonstrate its practicality and effectiveness.


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  • 中国国家知識基盤 (CNKI)
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  • コスモスIF
  • 研究ジャーナル索引作成ディレクトリ (DRJI)
  • 秘密検索エンジン研究所
  • ユーロパブ
  • ICMJE

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