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<p>Evaluating the quality of blended English teaching in vocational colleges involves a comprehensive approach that considers instructional design, implementation, student engagement, and learning outcomes. By addressing these dimensions and continuously seeking improvement, vocational colleges can enhance the effectiveness of their blended learning programs. The evaluation of blended English teaching quality in vocational colleges involves a multiple-attribute group decision-making (MAGDM) process. Currently, the CoCoSo approach was utilized to address MAGDM challenges. Intuitionistic fuzzy sets (IFSs) serve as tools to represent uncertain data during the evaluation process. This study introduces the intuitionistic fuzzy number CoCoSo (IFN-CoCoSo) approach, designed to handle MAGDM by incorporating Hamming distance, Euclidean distance and logarithmic distance within IFSs. A numerical study on the evaluation of blended English teaching quality in vocational colleges is provided to validate the IFN-CoCoSo approach. The major contributions of this study are assembled: (1) Extension of the CoCoSo approach to IFSs; (2) Use of entropy to derive weights based on three kinds of distance measures within IFSs; (3) Development of the IFN-CoCoSo approach to manage MAGDM using these distances within IFSs; (4) Provision of a numerical study and comparative analysis to validate the proposed approach for evaluating blended English teaching quality in vocational colleges.</p>

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Enhancing the combined compromise solution method for group decision-making under intuitionistic fuzziness: an application to blended English teaching quality evaluation in vocational colleges

  • 期刊论文

  • 发表日期：

    2025年1月1日

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  • Bin Xie,
  • Hongmiao Yuan

摘要

Evaluating the quality of blended English teaching in vocational colleges involves a comprehensive approach that considers instructional design, implementation, student engagement, and learning outcomes. By addressing these dimensions and continuously seeking improvement, vocational colleges can enhance the effectiveness of their blended learning programs. The evaluation of blended English teaching quality in vocational colleges involves a multiple-attribute group decision-making (MAGDM) process. Currently, the CoCoSo approach was utilized to address MAGDM challenges. Intuitionistic fuzzy sets (IFSs) serve as tools to represent uncertain data during the evaluation process. This study introduces the intuitionistic fuzzy number CoCoSo (IFN-CoCoSo) approach, designed to handle MAGDM by incorporating Hamming distance, Euclidean distance and logarithmic distance within IFSs. A numerical study on the evaluation of blended English teaching quality in vocational colleges is provided to validate the IFN-CoCoSo approach. The major contributions of this study are assembled: (1) Extension of the CoCoSo approach to IFSs; (2) Use of entropy to derive weights based on three kinds of distance measures within IFSs; (3) Development of the IFN-CoCoSo approach to manage MAGDM using these distances within IFSs; (4) Provision of a numerical study and comparative analysis to validate the proposed approach for evaluating blended English teaching quality in vocational colleges.