使用AHP与基于IV-CIFS的聚合运算符对体育课堂教学的调查
1Wuhan Sports University, Wuhan, 430079, Hubei, China. zwei201766@163.com.
Scientific reports
|October 3, 2025
概括
本研究介绍了一种先进的方法,用于评估现代教学技术在体育教育 (PE) 使用间隔值循环直觉模糊集和分析层次过程 (AHP). 可穿戴健身技术成为最有效的PE教学替代方案.
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
- 模糊的数学 模糊的数学
背景情况:
- 评估现代技术对体育教育 (PE) 教学的影响是具有挑战性的.
- 现有的评估系统在处理不确定性和属性加权方面缺乏准确性.
- 多属性决策 (MADM) 框架需要加强复杂评估的方法.
研究的目的:
- 开发一种新的MADM方法来评估创新的PE教学方法.
- 引入间隔值的循环直觉模糊集和多比运算以进行增强的评估.
- 为教育工作者和政策制定者提供一个结构化的框架来选择有效的PE技术.
主要方法:
- 使用间隔值的循环直觉模糊集与分析层次过程 (AHP) 结合.
- 开发了新的聚合运算符:间隔值循环直觉模糊多比加权平均 (IV-CIFDWA) 和几何 (IV-CIFDWG).
- 应用了一种新的MADM算法,根据定义的标准对PE教学替代方案进行排名.
主要成果:
- 可穿戴健身技术被确定为最佳的PE教学替代方案.
- 拟议的IV-CIFDWA和IV-CIFDWG运营商有效地对评估的PE技术进行了排名.
- 该研究表明,与现有方法相比,新方法的优越性.
结论:
- 基于间隔值的循环直觉模糊集的AHP为评估复杂的教育技术提供了一个强大的框架.
- 开发的Dombi聚合运算符可以在不确定的环境中提高MADM的精度.
- 这项研究为通过技术选择优化体育教学提供了宝贵的工具.
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