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基于交互和反机制的小组决策,用于使用T球模糊信息选择紧急医疗用品供应商
Shahid Hussain Gurmani1, Zhao Zhang2, Rana Muhammad Zulqarnain3,4
1School of Mathematical Sciences, Zhejiang Normal University, Jinhua, 321004, Zhejiang, China. shahidgurmani07@gmail.com.
本研究引入了一种使用T球模糊集 (T-SFS) 和交互和反机制 (IFM) 选择紧急医疗用品供应商的新方法. 这种方法有效地处理复杂的集团决策场景中的不确定性.
科学领域:
- 运营研究 运营研究
- 决策科学 决策科学 决策科学
- 信息科学 信息科学 信息科学
背景情况:
- 多种属性组决策 (MAGDM) 是复杂的,特别是在灾难期间,优先级发生转变.
- 传统方法与这些问题固有的模两可和不确定性作斗争.
- 图球模糊集 (T-SFSs) 提供了一种可靠的方式来表示决策中的不确定信息.
研究的目的:
- 提出一种新的MAGDM方法来选择紧急医疗用品供应商.
- 将T球模糊集 (T-SFSs) 与交互和反机制 (IFM) 集成.
- 解决复杂的集团决策中的模两可和不确定性.
主要方法:
- 引入T-SF分区Bonferroni平均值 (T-SFPBM) 和T-SF加权分区Bonferroni平均值 (T-SFWPBM) 运营商,以合并专家评估.
- 设计一个IFM以促进专家共识,并使用T-SFS信息确定专家权重.
- 开发一个MAGDM算法,结合IFM和T-SFWPBM.
主要成果:
- 一个关于选择紧急医疗用品供应商的案例研究表明了拟议的方法的可行性.
- 分析证实了该方法的可靠性和准确性.
- 该方法有效地处理不确定性,并改善复杂情景中的决策.
结论:
- 拟议的MAGDM方法,利用T-SFS和IFM,为复杂的决策问题提供可靠和准确的解决方案.
- 这种方法增强了对紧急医疗用品等关键资源的选择过程.
- 这项研究证实了T-SFS在管理群组决策中的模糊性方面的有效性.
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