Scholarlink

<p>Virtual reality (VR)-based education has gradually emerged as a significant trend in future educational development, as VR technology can concretize and visualize various abstract concepts in teaching. Given the importance of evaluating VR educational institutions to promote VR education, this study proposes a multi-attribute group decision-making model that integrates trust networks and three-dimensional emotions within an interval-valued Pythagorean fuzzy set (IVPFS) environment. First, considering the decision-makers’ affective cognition, a three-dimensional emotion model is incorporated into the IVPFS framework. Second, the Beta function is employed to describe changes in the trust relationships pre- and post-decision-making, thereby adjusting the weights of the decision-makers. Furthermore, the extended evidential reasoning (ER) method is utilized to rank and select VR educational institutions. The results indicate that VRSCHOOL (0.6338) outperforms VISTANDARD (0.6214), GROWLIB (0.5834), and STARUR (0.5738). Finally, the robustness and effectiveness of the proposed method are validated through sensitivity and comparative analyses.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Virtual Reality Educational Institutions Evaluation: Evidential Reasoning Based on MAGDM Model Integrating Trust Network and Three-Dimensional Emotion

  • 期刊论文

  • 发表日期：

    2025年7月21日

查看全文
  • Lingting Wu,
  • Ruru Li,
  • Shaowei Shen

摘要

Virtual reality (VR)-based education has gradually emerged as a significant trend in future educational development, as VR technology can concretize and visualize various abstract concepts in teaching. Given the importance of evaluating VR educational institutions to promote VR education, this study proposes a multi-attribute group decision-making model that integrates trust networks and three-dimensional emotions within an interval-valued Pythagorean fuzzy set (IVPFS) environment. First, considering the decision-makers’ affective cognition, a three-dimensional emotion model is incorporated into the IVPFS framework. Second, the Beta function is employed to describe changes in the trust relationships pre- and post-decision-making, thereby adjusting the weights of the decision-makers. Furthermore, the extended evidential reasoning (ER) method is utilized to rank and select VR educational institutions. The results indicate that VRSCHOOL (0.6338) outperforms VISTANDARD (0.6214), GROWLIB (0.5834), and STARUR (0.5738). Finally, the robustness and effectiveness of the proposed method are validated through sensitivity and comparative analyses.