一种基于物联网的新方法,使用分数模糊的哈马切尔聚合运算符应用程序来彻底改变医疗保健选择
Yasir Akhtar1, Mehboob Ali2, Faris A Almaliki3
1Department of Applied Mathematics, Chung Yuan Christian University, Chung-Li, Taoyuan, 32023, Taiwan. yasirakhtar00@gmail.com.
Scientific reports
|January 21, 2025
概括
这项研究引入了分数模糊集 (FFS) 的新方法,以改进物联网医疗保健系统. 该研究加强了选择医疗保健解决方案的决策,特别是在偏远地区.
科学领域:
- 计算机科学 计算机科学
- 信息科学 信息科学 信息科学
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 基于物联网 (IoT) 的医疗保健解决方案对于改善医疗服务质量,可访问性和效率至关重要,特别是在偏远地区.
- 现有的决策框架需要加强,以有效地处理现代医疗保健系统选择的复杂性.
- 分数模糊集合 (FFS) 提供了一个有前途的框架来表示复杂系统中的不确定性.
研究的目的:
- 引入使用Hamacher规范的分数模糊集合 (FFS) 的新运算和聚合运算符.
- 开发和整合这些基于FFS的运营商进入先进的决策方法 (扩展TOPSIS,TODIM,扩展GRA).
- 证明在医疗保健系统选择中提出的方法的实际应用和有效性.
主要方法:
- 关于分数模糊集合的哈马克总和和产品运算的定义和分析.
- 在FFS框架内,基于Hamacher规范的新型聚合运营商 (AoP) 的开发.
- 将基于FFS的AOP集成到扩展TOPSIS,TODIM和扩展GRA决策模型中.
主要成果:
- 拟议的FFS运算和聚合运算符具有强大的数学特性.
- 综合决策方法有效地处理医疗保健系统选择中的不确定性和复杂性.
- 一个关于医疗保健系统选择的案例研究验证了拟议方法的实用性和优越性.
结论:
- 新型的FFS操作和聚合运算符为医疗保健中不确定的决策提供了强大的工具.
- 改进的决策方法对基于物联网的医疗保健解决方案的现有方法提供了显著的改进.
- 这项研究有助于推进模糊集合理论在智能医疗保健系统中的应用.
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