一种基于CoCoSo和间隔值的Q-rung orthopair模糊集的新型组决策方法
Yan Zheng1, Hongwu Qin2,3, Xiuqin Ma1,4
1College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, Gansu, China.
Scientific reports
|March 20, 2024
概括
这项研究引入了一种新的间隔估值q-Rung整形夫妇模糊集 (IVq-ROFS) 方法用于决策. 它增强了属性权重和妥协得分,在败血症诊断中证明了强大.
科学领域:
- 模糊的数学 模糊的数学
- 决策科学科学 决策科学
- 不确定性量化不确定性的量化.
背景情况:
- 区间值 q-rung orthopair 模糊集 (IVq-ROFS) 为管理复杂系统中的不确定性提供了一个强大的框架.
- 现有的聚合运营商和多属性组决策 (MAGDM) 中的属性权重方法可能很复杂,缺乏客观性.
- 结合妥协解决方案 (CoCoSo) 方法面临的挑战是其妥协得分的维度差异.
研究的目的:
- 为IVq-ROFS开发一种新的聚合方法,这种方法对于MAGDM来说更简单,更实用.
- 为IVq-ROFS引入一个灵活的,基于参数的模糊度,以客观地确定属性权重.
- 通过规范化妥协分数和整合新的IVq-ROFS框架来改善决策来增强CoCoSo方法.
主要方法:
- 关于多个IVq-ROFS的新聚合方法的建议.
- 为IVq-ROFS开发一种新的,基于参数的模糊.
- 引入基于IVq-ROFS的属性权重计算技术.
- 通过对妥协分数的规范化,增强CoCoSo方法.
- 将这些组件集成到一个新的CoCoSo模型中,用于IVq-ROFS.
主要成果:
- 拟议的聚合方法比现有运营商更容易理解和实施.
- 新的模糊提供灵活性通过可调节的参数,导致更客观的属性权重.
- 使用IVq-ROFS的增强CoCoSo方法证明了适应性,可扩展性和稳定性.
- 该方法的有效性通过在败血症诊断中成功应用而得到验证.
结论:
- 开发的基于IVq-ROFS的CoCoSo方法在不确定性下在决策方面取得了重大进展.
- 与现有技术相比,这种方法提供了一个更客观,更灵活,更可扩展的解决方案.
- 该方法的实际实用性和可靠性是由其在现实世界医学诊断场景中的表现证实的.
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