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基于模糊粗糙数和阿采尔 - 阿尔西纳函数的医疗废物管理处理选择

Selection of healthcare waste management treatment using fuzzy rough numbers and Aczel-Alsina Function.

作者信息

Pamučar Dragan, Puška Adis, Simić Vladimir, Stojanović Ilija, Deveci Muhammet

机构信息

Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, 11000, Belgrade, Serbia.

College of Engineering, Yuan Ze University, Taiwan.

出版信息

Eng Appl Artif Intell. 2023 May;121:106025. doi: 10.1016/j.engappai.2023.106025. Epub 2023 Mar 4.

DOI:10.1016/j.engappai.2023.106025
PMID:36908983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9985309/
Abstract

The COVID-19 pandemic led to an increase in healthcare waste (HCW). HCW management treatment needs to be re-taken into focus to deal with this challenge. In practice, there are several treatments of HCW with their advantages and disadvantages. This study is conducted to select the appropriate treatment for HCW in the Brčko District of Bosnia and Herzegovina. Six HCW management treatments are analyzed and observed through twelve criteria. Ten-level linguistic values were used to bring this evaluation closer to human thinking. A fuzzy rough approach is used to solve the problem of inaccuracy in determining these values. The OPA method from the Bonferroni operator is used to determine the weights of the criteria. The results of the application of this method showed that the criterion Environmental Impact ( ) received the highest weight, while the criterion Automation Level ( ) received the lowest value. The ranking of HCW management treatments was performed using MARCOS methods based on the Aczel-Alsina function. The results of this analysis showed that the best-ranked HCW management treatment is microwave (A6) while landfill treatment (A5) is ranked worst. This study has provided a new approach based on fuzzy rough numbers where the Bonferroni function is used to determine the lower and upper limits, while the application of the Aczel-Alsina function reduced the influence of decision-makers on the final decision because this function stabilizes the decision-making process.

摘要

新冠疫情导致医疗废物增加。医疗废物管理处理需要重新成为关注焦点,以应对这一挑战。在实践中,有几种医疗废物处理方式,各有优缺点。本研究旨在为波斯尼亚和黑塞哥维那布尔奇科地区选择合适的医疗废物处理方式。通过十二个标准对六种医疗废物管理处理方式进行分析和观察。采用十级语言值使这种评估更接近人类思维。使用模糊粗糙方法解决确定这些值时的不准确性问题。采用邦费罗尼算子的OPA方法确定标准的权重。该方法的应用结果表明,“环境影响”标准( )权重最高,而“自动化水平”标准( )权重最低。基于阿采尔 - 阿尔西纳函数,使用MARCOS方法对医疗废物管理处理方式进行排序。该分析结果表明,排名最佳的医疗废物管理处理方式是微波处理(A6),而填埋处理(A5)排名最差。本研究提供了一种基于模糊粗糙数的新方法,其中邦费罗尼函数用于确定下限和上限,而阿采尔 - 阿尔西纳函数的应用减少了决策者对最终决策的影响,因为该函数稳定了决策过程。

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