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通过循环直觉主义的优化体育教育策略基于Fuzzy Bonferroni的学校政策制定
1Yong In University General College Graduate School, Yongin, 17902, Korea. 19511986921@163.com.
这项研究引入了一种新的决策模式,用于战略性学校政策,增强体育教育计划. 循环直觉模糊的邦费罗尼平均值 (CIFBM) 方法优化了政策评估和资源分配,以实现学生的成功.
科学领域:
- 教育政策和管理教育政策和管理
- 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:
- 战略性学校政策对于整体的学生发展至关重要,整合学术和课外目标.
- 体育教育对终身健康,福祉和学生整体成长做出了重大贡献.
- 评估政策有效性往往涉及复杂,不确定的数据,需要先进的决策工具.
研究的目的:
- 为评估与体育相关的学校战略政策提出一个新的决策模型.
- 引入和验证循环直觉模糊的邦费罗尼平均 (CIFBM) 操作员来处理政策评估中的不确定性.
- 建立一个多属性组决策 (MAGDM) 方法来排名促进体育活动和学生成绩的政策.
主要方法:
- 开发循环直觉模糊的邦费罗尼平均值 (CIFBM) 运算符,集成阿切尔-阿尔西纳三角规范和邦费罗尼聚合规则.
- 调查和证明拟议的CIFBM运营商的基本特性.
- 应用多属性组决策 (MAGDM) 框架,根据体育教育目标对学校政策进行排名.
主要成果:
- 拟议的CIFBM运营商有效地处理政策评估中的不确定性.
- MAGDM方法成功评估和排名了体育教育的战略学校政策.
- 一个案例研究证明了该模型在优化资源使用和利益相关者协调方面的有效性.
结论:
- 开发的方法提供了一种有效和优化的方法,用于制定学校政策的决策.
- 这项研究为政策制定者和教育工作者提供了有价值的指导,旨在将战略规划与体育教育计划相结合.
- 通过强大的决策模型支持的有效政策制定是提高学生成功和教育成果的关键.
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