电子废物回收的多属性决策使用区间值的费尔马特模糊的哈马切尔聚合运营商
Anam Luqman1, Gulfam Shahzadi2
1Division of Science and Technology, Department of Mathematics, University of Education, Lahore, Pakistan.
Granular computing
|April 16, 2024
概括
选择最佳的废弃电气和电子设备 (WEEE) 回收合作伙伴对于环境可持续性至关重要. 本研究引入了新的多属性决策 (MADM) 技术,使用区间值的费尔马特模糊信息来改进WEEE回收器的选择.
科学领域:
- 环境科学 环境科学
- 决策科学 决策科学 决策科学
- 模糊的数学 模糊的数学
背景情况:
- 废弃电气和电子设备 (WEEE) 的回收对于环境保护和减少碳排放至关重要.
- 选择合适的WEEE回收合作伙伴是一个复杂的决策 (DM) 挑战,由于许多定性和定量因素.
- 有效的WEEE回收合作伙伴评估对于可持续的环境增长至关重要.
研究的目的:
- 为评估WEEE回收合作伙伴提出新的多属性决策 (MADM) 技术.
- 开发一种使用区间值的费尔马特模糊 (IVFF) 信息和哈马赫聚合运算符 (AO) 的决策方法.
- 以环保的方式解决选择WEEE回收合作伙伴的复杂问题.
主要方法:
- 开发特定的Hamacher聚合操作员,包括加权平均和几何变量.
- 这些运算符在区间值的费尔马特模糊 (IVFF) 条件下在MADM框架内应用.
- 拟议技术在中国电子废物回收合作伙伴选择的案例研究中实施.
主要成果:
- 拟议的MADM技术有效地使用IVFF信息评估WEEE回收合作伙伴.
- 一个在中国的案例研究证明了开发的方法的实际应用和有效性.
- 与现有技术的比较证实了拟议模型的生产力,连贯性,准确性和一致性.
结论:
- 开发的MADM方法为选择WEEE回收合作伙伴提供了一个强大的框架.
- 该技术具有高度兼容性,可用于处理WEEE回收复杂决策问题.
- 这项研究通过改进合作伙伴选择,为更环保,更有效的WEEE回收实践做出了贡献.
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