多标准集团决策基于直觉的正常云和云距离
Wei Li1, Yingqi Lu1, Chengli Fan1
1School of Air Defense and Anti-Missile, Airforce Engineering University, Xi'an 710051, China.
Entropy (Basel, Switzerland)
|July 8, 2023
概括
这项研究引入了一种新的决策方法,使用直观的正常云和云距离来处理不确定性. 该方法有效地处理专家信息,以获得更好的集团决策结果.
科学领域:
- 决策科学 决策科学
- 信息科学 信息科学 信息科学
- 人工智能的人工智能
背景情况:
- 信息的不确定性是决策的关键挑战.
- 随机性和模糊性是不确定性的主要来源.
- 现有的方法可能会遭受信息丢失或扭曲.
研究的目的:
- 提出一种新的多标准组决策 (MCGDM) 方法.
- 用直观的正常云和云距离来解决信息不确定性.
- 提高决策过程的准确性和可靠性.
主要方法:
- 开发了用于直观正常云的向后云生成算法.
- 通过将云模型距离测量与信息相结合,引入了云距离.
- 定义了对直观正常云的距离测量,并提出了一个标准重量确定方法.
- 将VIKOR方法扩展到直观的正常云环境中.
主要成果:
- 将直观的模糊决策信息转化为直观的正常云矩阵,保持信息完整性.
- 建立了一个可靠的方法来确定不确定性下的标准权重.
- 使用扩展的VIKOR方法获得了可靠的替代品排名结果.
- 通过两个数值示例证明了该方法的有效性和实用性.
结论:
- 提出的方法有效地处理了MCGDM问题中的不确定性.
- 直觉的正常云和云距离为决策分析提供了强大的框架.
- 该方法为复杂的决策场景提供了实用和有效的解决方案.
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