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优化大学体育教育的教学质量,通过使用复杂间隔的决策技术来评估模糊模型
Duo Huang1, Yangjun Liu2,3
1Sports Health and Industrial Development Research Center, School of Physical Education, Shangrao Normal University, Shangrao, 334001, Jiangxi, China.
Scientific reports
|July 2, 2025
概括
这项研究引入了一个新的框架,使用复杂间隔估值的费尔马特模糊多比聚合来提高大学体育教育 (PE) 教学质量. 该方法有效地评估复杂的因素,以便在PE项目中做出更好的决策.
科学领域:
- 教育技术的教育技术
- 决策科学 决策科学 决策科学
- 模糊的集合理论 模糊的集合理论
背景情况:
- 大学体育教育 (PE) 质量对于学生的发展至关重要.
- 评估PE教学质量涉及复杂的,主观的和概率的变量.
- 现有的方法可能无法完全捕捉教育环境中专家评估的细微差别.
研究的目的:
- 开发一个新的决策框架,以提高大学PE教学质量.
- 将复杂的主观因素纳入评估PE教学有效性的过程中.
- 为选择模范教学实践提供一个强大的方法.
主要方法:
- 开发一个复杂的间隔估值的费尔玛模糊多比聚合 (CIVFFDA) 运营商.
- 复杂区间值的费尔马特模糊集 (CIVFFS) 的应用,以建模专家的不确定性和犹.
- 使用Dombi聚合运算符来权衡和结合评估标准.
主要成果:
- 拟议的CIVFFDA框架有效地处理了评估教学质量的固有模糊性和犹.
- 该模型成功地结合了多个标准,包括教师能力,学生参与度和设施质量.
- 证明了模糊集 (FS) 在支持改善大学PE的决策方面的实用性.
结论:
- CIVFFDA运营商提供了一种全面的方法,以加强学院PE的决策.
- 该框架有助于管理人员和教育工作者确定和实施最大限度地提高教育质量的策略.
- 该研究强调了先进的模糊集方法论在教育评估中的潜力.
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