q-Rung orthopair 模糊动态聚合运算符具有时间序列偏好,用于动态决策.
Hafiz Muhammad Athar Farid1, Muhammad Riaz1, Vladimir Simic2,3
1University of the Punjab, Lahore, Pakistan.
PeerJ. Computer science
|March 4, 2024
概括
本研究介绍了用于多期决策的动态 q-rung orthopair 模糊聚合运算符. 这些新型运营商增强了复杂,时间变化的问题的模糊信息处理.
科学领域:
- 模糊的数学 模糊的数学
- 决策科学 决策科学 决策科学
- 运营研究 运营研究
背景情况:
- 与现有模型相比,q-rung orthopair fuzzy set (q-ROPFS) 框架允许更丰富的模糊信息表示.
- 信息聚合对于多标准决策至关重要,人们对 q-ROPFS 应用有兴趣.
- 现有的聚合运营商可能无法完全捕捉决策数据的动态和时间方面.
研究的目的:
- 为 q-rung orthopair 模糊数 (q-ROPFNs) 引入新的动态聚合运算符.
- 使用这些运算符和理想解决方案,为多期问题开发决策方法.
- 解决涉及随时间变化的模糊信息的决策挑战.
主要方法:
- 开发了两个新的聚合运算符:动态q-rung整形pair模糊爱因斯坦加权平均 (DQROPFEWA) 和动态q-rung整形pair模糊爱因斯坦加权几何 (DQROPFEWG).
- 利用爱因斯坦聚合运算符,在q-ROPFS框架内有效地进行信息融合.
- 应用基于多时期问题的理想解决方案的决策方法.
主要成果:
- 拟议的DQROPFEWA和DQROPFEWG运营商有效地在多个时间段内汇总q-ROPFN.
- 介绍并验证了使用这些运营商进行多期决策的新方法.
- 一个数值示例展示了在评估COVID-19对日常生活的影响中的应用.
结论:
- 开发的动态 q-rung orthopair 模糊聚合运营商为处理复杂的决策场景提供了增强的能力.
- 拟议的决策技术为多阶段和动态决策分析提供了有效的框架.
- 该研究强调了这些方法在现实世界动态决策问题中的广泛适用性.
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