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评估医疗废弃物处理方法使用一个以区间值为基础的直观模糊双重规范化的多重聚合方法
Abdullah Al-Barakati1, Pratibha Rani2
1Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589 Saudi Arabia.
概括
优化医疗废物处理 (HCWT) 对环境和公共健康至关重要. 使用区间值直观模糊集 (IVIFS) 的新方法将蒸汽杀菌确定为最有效的HCWT选项.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 决策科学 决策科学 决策科学
背景情况:
- 医疗保健废物管理是一个关键的全球性问题,特别是在发展中国家,影响环境和公共卫生.
- 优化医疗废物处理 (HCWT) 是一个复杂的多标准决策 (MCDM) 挑战,因为相互依赖和相互矛盾的标准.
研究的目的:
- 扩展基于双重规范化的多聚合 (DNMA) 方法,使用区间值的直观模糊集 (IVIFS).
- 开发一种新的参数差异测量方法,用于估计MCDM问题的标准权重.
- 应用增强框架来选择最佳的HCWT方法.
主要方法:
- 将区间值的直觉模糊集 (IVIFS) 与DNMA方法集成.
- 开发和验证一个新的参数差异衡量标准权重的新参数差异.
- 实施医疗废物处理选择决策框架.
主要成果:
- 提出的方法成功地解决了医疗废物处理选择问题.
- 蒸汽灭菌被确定为最佳的HCWT方法,得分为0.462.
- 确定了HCWT选项的明确优先级:蒸汽杀菌微波焚烧填埋.
结论:
- 使用IVIFS的增强DNMA方法为复杂的MCDM问题,如HCWT提供了一个强大的框架.
- 这些发现为决策者和从业人员提供了宝贵的见解,以优化医疗废物管理战略.
- 蒸汽灭菌成为医疗废物处理中最有效和最推的方法.
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