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基于不确定型双犹豫 q 对偶犹豫模糊集 MARCOS 方法的一次性个人防护装备处理决策

A dual hesitant q-rung orthopair enhanced MARCOS methodology under uncertainty to determine a used PPE kit disposal.

机构信息

Department of Industrial and Management Engineering, Institute of Digital Anti-aging Healthcare, Inje University 197 Inje-ro, Gimhae-si, Gyeongsangnam-do, 50834, Republic of Korea.

Department of Mathematics, Bharathiar University, Coimbatore, 641 046, India.

出版信息

Environ Sci Pollut Res Int. 2022 Dec;29(59):89625-89642. doi: 10.1007/s11356-022-21601-3. Epub 2022 Jul 20.

DOI:10.1007/s11356-022-21601-3
PMID:35857161
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9296901/
Abstract

Healthcare waste management is regarded as the most critical concern that the entire world is currently and will be confronted with in the near future. During the COVID-19 pandemic, the significant growth in medical waste frightened the globe, prompting it to investigate safe disposal methods. Plastics are developing as a severe environmental issue as a result of their increased use during the COVID-19 pandemic which has triggered a global catastrophe and prompted concerns about plastic waste management. One of the biggest challenges in this circumstance is the disposal of discarded PPE kits. The purpose of this research is to find a viable disposal treatment procedure for enhanced personal protective equipment (PPE) (facemasks, gloves, and other protective equipment) and other single-use plastic medical equipment waste in India during the COVID-19 crises, which will aid in effectively reducing their increasing quantity. To analyse the PPE waste disposal problem in India, we used the fuzzy Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) technique, which included the dual hesitant q-rung orthopair fuzzy set. The fuzzy Best Worst Method (BWM), which is compatible with the existing MCDM approaches, is used to establish the criteria weights. Sensitivity and comparative analyses are utilised to confirm the stability and validity of the proposed strategy.

摘要

医疗废物管理被认为是当今全球乃至未来不久将面临的最关键问题。在 COVID-19 大流行期间,医疗废物的大量增加令全球感到震惊,促使人们寻求安全的处理方法。由于 COVID-19 大流行期间塑料的使用量增加,导致其成为一个严重的环境问题,引发了人们对塑料废物管理的关注。在这种情况下,最大的挑战之一是处理废弃的个人防护设备 (PPE) 套件。本研究旨在为印度 COVID-19 危机期间找到一种可行的处置处理方法,以增强个人防护设备 (PPE)(口罩、手套和其他防护设备)和其他一次性塑料医疗设备废物的处理能力,从而有效减少其不断增加的数量。为了分析印度的 PPE 废物处理问题,我们使用了模糊测量替代和妥协解决方案排序 (MARCOS) 技术,其中包括双犹豫 q 模糊序偶集。模糊最佳最差方法 (BWM) 与现有的 MCDM 方法兼容,用于建立标准权重。敏感性和比较分析用于确认所提出策略的稳定性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/043374038927/11356_2022_21601_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/1996f95431f8/11356_2022_21601_Fig3_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/9481578e7ce3/11356_2022_21601_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/26bd331010ef/11356_2022_21601_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/043374038927/11356_2022_21601_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/955cbef16cfd/11356_2022_21601_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/6f790250dca1/11356_2022_21601_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/1996f95431f8/11356_2022_21601_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/2f9a5d533db5/11356_2022_21601_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/e8a9fd588f4b/11356_2022_21601_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/5f2355e72d8b/11356_2022_21601_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/9481578e7ce3/11356_2022_21601_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/26bd331010ef/11356_2022_21601_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3e/9296901/043374038927/11356_2022_21601_Fig9_HTML.jpg

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