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通过使用立方直观模糊的瑞士和斯克拉尔电力聚合运营商的创新决策来彻底改变糖尿病护理
Bai Chunsong1, Usman Khalid2, Muhammad Ahsan Binyamin2
1School of Finance and Mathematics, Huainan Normal University, Huainan 232038, China.
Heliyon
|December 13, 2024
概括
本研究介绍了立方直观的模糊集和新的聚合运算符,以便在复杂情况下做出更好的决策. 这些方法提高了数据处理,特别是在糖尿病护理等医疗应用中.
科学领域:
- 模糊的集合理论 模糊的集合理论
- 决策 决策 决策 决策
- 计算智能是一种计算智能.
背景情况:
- 现有的模糊集框架在处理复杂和不确定的数据方面存在局限性.
- 间隔值的直觉模糊集合和直觉模糊集合需要先进的聚合方法.
- 在复杂的系统中,准确的决策需要改进数据的表示和处理.
研究的目的:
- 将立方模糊集扩展到立方直观模糊集 (CIFS).
- 为CIFS开发新的聚合运营商,特别是瑞士和斯克拉 (SS) 功率加权平均 (CIFSSPWA) 和几何 (CIFSSPWG) 运营商.
- 在立方直观模糊 (CIF) 环境中增强数据聚合.
主要方法:
- 开发立方直观模糊集 (CIFS).
- 执行瑞士和斯克拉尔 (SS) 运算进行聚合.
- 引入立方直观模糊的瑞士和斯克拉尔功率加权平均 (CIFSSPWA) 和几何 (CIFSSPWG) 运算符.
- 进行敏感性和比较研究.
主要成果:
- 拟议的CIFSSPWA和CIFSSPWG运营商证明了在CIF环境中数据聚合的增强可行性.
- 新运营商对处理复杂和未解决结构的现有方法进行了改进.
- 研究通过严格的研究验证了拟议运营商的稳定性和可靠性.
结论:
- 立方直观模糊集为表示复杂信息提供了强大的框架.
- 开发的基于SS的聚合运营商显著改善了决策过程.
- 这些进步具有在医疗领域的应用潜力,例如糖尿病患者护理.
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