基于自由电力聚合运营商和循环双极复杂模糊不确定性EDAS方法的可再生能源资源分析
Zeeshan Ali1, Khumara Ashraf2, Khizar Hayat3
1Department of Information Management, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002, Taiwan.
Heliyon
|October 15, 2024
概括
这项研究引入了循环双极复杂模糊 (Cir-BCF) 集和新的操作规律来处理复杂的,不确定的数据. 使用这些集的新方法有效评估和排名可再生能源.
科学领域:
- 数学 数学 是一个数学.
- 决策科学 决策科学 决策科学
- 能源科学 能源科学
背景情况:
- 模糊集合论及其扩展对于管理不确定性和模糊性至关重要.
- 现有的模糊集模型与复杂的,多属性决策场景作斗争.
- 循环双极复杂模糊 (Cir-BCF) 集为处理复杂不确定的信息提供了一个先进的框架.
研究的目的:
- 引入一个新的循环双极复杂模糊 (Cir-BCF) 集的框架.
- 为Cir-BCF值制定新的操作规则,特别是Frank t-norm和Frank t-conorm.
- 建议使用Cir-BCF数字进行可再生能源资源评估的增强决策方法.
主要方法:
- 开发Cir-BCF集模型,包括会员,非会员和半径.
- 引入公开的操作规则,并简化Cir-BCF的平均和几何运算符 (Cir-BCFFPA,Cir-BCFFPWA,Cir-BCFFPG,Cir-BCFFPWG).
- 基于距离平均值解决方案 (EDAS) 方法的评估与Cir-BCF数字 (Cir-BCFNs) 的应用,用于可再生能源分析.
主要成果:
- 拟议的Cir-BCF设定了模型和操作法律,有效地处理不确定的和模糊的信息.
- 简化的Cir-BCF运算符表现出像idempotency,单调性和边界性这样的属性.
- 用Cir-BCFNs增强的EDAS方法提供了一个强大的方法来排名复杂的可再生能源替代品.
结论:
- 新的Cir-BCF框架和相关的操作规律为复杂决策的模糊集合理论提供了重大进展.
- 与现有技术相比,开发的Cir-BCF-EDAS方法在评估和排名可再生能源资源方面表现出卓越的有效性和熟练性.
- 这项研究为解决不确定的环境中复杂的多标准决策问题提供了强有力的工具,特别是在能源领域.
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