Radulescu Constanta Zoie, Radulescu Marius, Boncea Radu
National Institute for Research and Development in Informatics, 8-10, Mareşal Averescu, 011455 Bucharest, Romania.
"Gheorghe Mihoc-Caius Iacob" Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy, Calea 13 Septembrie, No. 13, 050711 Bucharest, Romania.
Entropy (Basel). 2022 May 3;24(5):642. doi: 10.3390/e24050642.
The COVID-19 pandemic caused important health and societal damage across the world in 2020-2022. Its study represents a tremendous challenge for the scientific community. The correct evaluation and analysis of the situation can lead to the elaboration of the most efficient strategies and policies to control and mitigate its propagation. The paper proposes a Multi-Criteria Decision Support (MCDS) based on the combination of three methods: the Group Analytic Hierarchy Process (GAHP), which is a subjective group weighting method; Extended Entropy Weighting Method (EEWM), which is an objective weighting method; and the COmplex PRoportional ASsessment (COPRAS), which is a multi-criteria method. The COPRAS uses the combined weights calculated by the GAHP and EEWM. The sum normalization (SN) is considered for COPRAS and EEWM. An extended entropy is proposed in EEWM. The MCDS is implemented for the development of a complex COVID-19 indicator called COVIND, which includes several countries' COVID-19 indicators, over a fourth COVID-19 wave, for a group of European countries. Based on these indicators, a ranking of the countries is obtained. An analysis of the obtained rankings is realized by the variation of two parameters: a parameter that describes the combination of weights obtained with EEWM and GAHP and the parameter of extended entropy function. A correlation analysis between the new indicator and the general country indicators is performed. The MCDS provides policy makers with a decision support able to synthesize the available information on the fourth wave of the COVID-19 pandemic.
2020年至2022年期间，新冠疫情在全球范围内造成了重大的健康和社会损害。对其进行研究对科学界来说是一项巨大的挑战。对形势进行正确的评估和分析有助于制定出最有效的战略和政策，以控制和减轻其传播。本文提出了一种基于三种方法相结合的多准则决策支持（MCDS）方法：群组层次分析法（GAHP），这是一种主观的群组加权方法；扩展熵权法（EEWM），这是一种客观加权方法；以及复杂比例评估法（COPRAS），这是一种多准则方法。COPRAS使用GAHP和EEWM计算出的组合权重。COPRAS和EEWM采用和法归一化（SN）。EEWM中提出了一种扩展熵。MCDS用于开发一个名为COVIND的复杂新冠指标，该指标涵盖了一组欧洲国家在第四波新冠疫情期间几个国家的新冠指标。基于这些指标，得出了各国的排名。通过两个参数的变化对所得排名进行分析：一个参数描述用EEWM和GAHP获得的权重组合，另一个参数是扩展熵函数的参数。对新指标与各国总体指标进行了相关性分析。MCDS为政策制定者提供了一种决策支持，能够综合有关新冠疫情第四波的可用信息。
