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<p>In college education, English is a mandatory course for all students, with undergraduate institutions setting specific proficiency requirements. The quality of college English blended teaching (CEBT) is crucial as it directly impacts student learning outcomes. Teaching quality serves as a vital indicator for assessing the effectiveness of English instruction. However, evaluating learning quality is a complex process that encompasses numerous factors, including evaluation indicators and methods. Consequently, developing an objective and scientific system for assessing English teaching quality presents a significant challenge. The quality evaluation of CEBT is a multi-attribute group decision-making (MAGDM) problem. To address this, the Exponential TODIM (ExpTODIM) and VIKOR methods were utilized to establish a MAGDM framework. Interval-valued intuitionistic fuzzy sets (IVIFSs) are employed to depict uncertain information during the CEBT quality evaluation. In this study, entropy and score values are used to determine objective weights. Subsequently, an integrated interval-valued intuitionistic fuzzy number ExpTODIM -VIKOR (IVIFN-ExpTODIM-VIKOR) method is developed to tackle the MAGDM challenge. An illustrative example of CEBT quality evaluation, along with comparative analysis, is provided to demonstrate the validity and reliability of the IVIFN-ExpTODIM-VIKOR method.</p>

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Enhanced ExpTODIM framework based on VIKOR for interval-valued intuitionistic fuzzy multiple-attribute group decision-making and applications to for college english blended teaching quality evaluation

  • 期刊论文

  • 发表日期：

    2025年6月1日

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  • Yuan Huang,
  • Ming Tang

摘要

In college education, English is a mandatory course for all students, with undergraduate institutions setting specific proficiency requirements. The quality of college English blended teaching (CEBT) is crucial as it directly impacts student learning outcomes. Teaching quality serves as a vital indicator for assessing the effectiveness of English instruction. However, evaluating learning quality is a complex process that encompasses numerous factors, including evaluation indicators and methods. Consequently, developing an objective and scientific system for assessing English teaching quality presents a significant challenge. The quality evaluation of CEBT is a multi-attribute group decision-making (MAGDM) problem. To address this, the Exponential TODIM (ExpTODIM) and VIKOR methods were utilized to establish a MAGDM framework. Interval-valued intuitionistic fuzzy sets (IVIFSs) are employed to depict uncertain information during the CEBT quality evaluation. In this study, entropy and score values are used to determine objective weights. Subsequently, an integrated interval-valued intuitionistic fuzzy number ExpTODIM -VIKOR (IVIFN-ExpTODIM-VIKOR) method is developed to tackle the MAGDM challenge. An illustrative example of CEBT quality evaluation, along with comparative analysis, is provided to demonstrate the validity and reliability of the IVIFN-ExpTODIM-VIKOR method.