基于 (p,q,r) -球形模糊法兰克聚合运算符的MCGDM方法:可再生能源分类中的应用
Tmader Alballa1, Muhammad Rahim2,3, Alhanouf Alburaikan4
1Department of Mathematics, College of Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Scientific reports
|October 9, 2024
概括
这项研究引入了一种新的决策方法,使用球形模糊的弗兰克聚合运算符来选择最佳的可再生能源. 这种方法有助于解决全球能源危机,并促进可持续的能源解决方案.
科学领域:
- 能源科学 能源科学
- 决策科学 决策科学 决策科学
- 模糊的集合理论 模糊的集合理论
背景情况:
- 全球日益增长的能源需求需要可持续的解决方案.
- 可再生能源提供了环境效益,但也带来了复杂的选择挑战.
- 现有的决策工具缺乏最佳可再生能源选择的细微差别.
研究的目的:
- 开发一种新的多标准组决策 (MCGDM) 方法来选择最佳的可再生能源.
- 为了引入新的 [公式:见文本]球形模糊的弗兰克聚合运算符.
- 提高可再生能源部门的决策准确性.
主要方法:
- 弗兰克t-规范与[公式:参见文本]球形模糊集合的整合.
- 开发新的聚合运营商 (AO),管理会员,中立和非会员级别.
- 应用拟议的MCGDM方法来评估使用人工数据的可再生能源.
主要成果:
- 拟议的 [公式:见文本]球形模糊的弗兰克聚合运算符为决策提供了一个精细的框架.
- 在MCGDM方法有效评估和识别优越的可再生能源.
- 提出的运营商在决策准确性方面比现有方法有明显的优势.
结论:
- 开发的MCGDM方法为选择最佳可再生能源提供了一个强大的工具.
- 这项研究有助于解决能源危机,促进可持续能源的发展.
- 新型聚合运营商提高了与能源相关的复杂决策的精度.
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