基于WASPAS方法的语言分数模糊信息的新概念,用于有效的水过决策问题,基于WASPAS方法
Saleem Abdullah1, Hamad Ali1, Ariana Abdul Rahimzai2
1Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan.
Scientific reports
|September 26, 2025
概括
本研究引入了一种新的语言分数模糊集权重平均产品差异 (LFFS-WASPAS) 技术,以确定最佳的水过方法. 这种方法通过使用多标准决策来评估复杂的净化过程,确保更安全的饮用水.
科学领域:
- 环境科学 环境科学
- 水处理技术水处理技术
- 决策科学 决策科学 决策科学
背景情况:
- 清洁水对于公共卫生,工业和国家稳定至关重要.
- 现有的水过方法需要优化,以提高效率和安全性.
- 多标准决策 (MCDM) 对于选择最佳的净水技术至关重要.
研究的目的:
- 引入一种新的MCDM技术,用于选择最有效的水过方法.
- 开发和应用语言分数模糊集权重平均产品差异 (LFFS-WASPAS) 技术.
- 在专家权重无法提供时,应对决策中的挑战.
主要方法:
- 语言分数模糊集 (LFFS) 概念和聚合运算符的开发.
- 整合测量和分析层次过程 (AHP) 来确定重量.
- 应用LFFS-WASPAS技术来选择商业规模的水过方法.
主要成果:
- 拟议的LFFS-WASPAS技术成功地确定了最有效的水过方法.
- 该研究证明了LFFS在处理复杂决策场景中的有效性.
- 敏感性分析证实了拟议方法的稳定性和可靠性.
结论:
- LFFS-WASPAS技术为选择最佳的水过系统提供了一种优越的方法.
- 这种方法提高了确保安全和清洁供水的能力.
- 这项研究为环境和公共卫生决策提供了宝贵的工具.
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