国际级体育篮球的质量使用智能决策算法,涉及多名专家
1School of Physical Education and Health, Hubei University of Chinese Medicine, Wuhan, 430065, China. wh920189@126.com.
Scientific reports
|July 7, 2025
概括
本研究引入了一种新的智能方法,使用圆形图像模糊值来评估篮球质量,解决专家判断的不确定性. 该模型有效地根据关键性能特征对篮球品牌进行排名.
科学领域:
- 运动科学 运动科学 运动科学
- 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:
- 评估篮球质量对于国际体育表现至关重要.
- 质量评估中的专家判断往往涉及不确定性和不准确性.
研究的目的:
- 开发一种智能决策方法,用于评估职业竞赛篮球.
- 用圆形图像模糊值 (CPFV) 来解决专家判断中的不确定性和不准确性.
主要方法:
- 使用圆形图片模糊值 (CPFVs) 来表示专家判断中的模糊性.
- 拟议的新型Aczel-Alsina (A-A) 聚合运算符 (Cr-PPFAAG和Cr-PPFAAA) 在循环优先图像模糊 (CPPF) 框架内.
- 开发了一个包含这些运算符的多属性决策 (MADM) 模型,并分析了它们的数学属性.
主要成果:
- 一项实证研究评估了五个篮球品牌的六个质量特征 (耐用性,反弹一致性,抓地力,空气保留).
- 拟议的模型产生了一致和强大的排名,在处理模两可方面表现优越,与其他方法相比.
- 根据其累积质量评分确定了特定的品牌.
结论:
- 开发的智能决策模型有效地衡量了职业篮球的全球质量.
- 为体育协会,制造商和采购决策者在选择高质量的篮球时提供实际指导.
- 通过确保遵守国际绩效标准来提高专业的比赛.
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