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<p>To evaluate the factors influencing the teaching effectiveness of the <i>“Safety Access Education in University Laboratories”</i> course, a probabilistic linguistic term set-based evaluation method is proposed. Firstly, evaluation indicators are constructed based on semantics. To ensure the objectivity of weight allocation, the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method is used to calculate the weights of these indicators. Secondly, the probabilistic linguistic term set (PLTS) is combined with the possibility degree formula to construct a probabilistic linguistic possibility degree evaluation matrix. This matrix comprehensively reflects the “expectation” and “variance” characteristics of two PLTS. Finally, the linguistic evaluation information of the candidate sets is compared using the probabilistic linguistic possibility degree evaluation matrix, and a comprehensive possibility degree matrix is calculated and ranked. Various experimental results validate the stability and effectiveness of the proposed method in evaluating the factors influencing the teaching effectiveness of the <i>“Safety Access Education in University Laboratories”</i> course and its applicability in enhancing teaching effectiveness.</p>

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Evaluation of teaching effect factors based on probabilistic language set

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月12日

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  • Xiaohui Song,
  • Yubo Zhang,
  • Xiangcai Chang,
  • Jie Xiao,
  • Xueli Feng,
  • Zhengxue Zhao

摘要

To evaluate the factors influencing the teaching effectiveness of the “Safety Access Education in University Laboratories” course, a probabilistic linguistic term set-based evaluation method is proposed. Firstly, evaluation indicators are constructed based on semantics. To ensure the objectivity of weight allocation, the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method is used to calculate the weights of these indicators. Secondly, the probabilistic linguistic term set (PLTS) is combined with the possibility degree formula to construct a probabilistic linguistic possibility degree evaluation matrix. This matrix comprehensively reflects the “expectation” and “variance” characteristics of two PLTS. Finally, the linguistic evaluation information of the candidate sets is compared using the probabilistic linguistic possibility degree evaluation matrix, and a comprehensive possibility degree matrix is calculated and ranked. Various experimental results validate the stability and effectiveness of the proposed method in evaluating the factors influencing the teaching effectiveness of the “Safety Access Education in University Laboratories” course and its applicability in enhancing teaching effectiveness.