Performance of Fuzzy Multi-Criteria Decision Analysis of Emergency System in COVID-19 Pandemic. An Extensive Narrative Review

Vicente Javier Clemente-Suárez, Eduardo Navarro-Jiménez, Pablo Ruisoto, Athanasios A. Dalamitros, Ana Isabel Beltran-Velasco, Alberto Hormeño-Holgado, Carmen Cecilia Laborde-Cárdenas and Jose Francisco Tornero-Aguilera
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Vicente Javier Clemente-Suárez: Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain
Eduardo Navarro-Jiménez: Grupo de investigacion en Microbiologia y Biotecnologia (IMB), Universidad Libre, Barranquilla 08002, Colombia
Pablo Ruisoto: Department of Health Sciences, Public University of Navarre, 31006 Pamplona, Spain
Athanasios A. Dalamitros: Laboratory of Evaluation of Human Biological Performance, School of Physical Education and Sport Sciences, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
Ana Isabel Beltran-Velasco: Education Department, Universidad Antonio de Nebrija, 28240 Madrid, Spain
Alberto Hormeño-Holgado: Studies Centre in Applied Combat (CESCA), 45007 Toledo, Spain
Carmen Cecilia Laborde-Cárdenas: Vicerrectoría De Investigación e Innovación, Universidad Simón Bolívar, Barranquilla 080005, Colombia
Jose Francisco Tornero-Aguilera: Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain

IJERPH, 2021, vol. 18, issue 10, 1-12

Abstract: The actual coronavirus disease 2019 (COVID-19) pandemic has led to the limit of emergency systems worldwide, leading to the collapse of health systems, police, first responders, as well as other areas. Various ways of dealing with this world crisis have been proposed from many aspects, with fuzzy multi-criteria decision analysis being a method that can be applied to a wide range of emergency systems and professional groups, aiming to confront several associated issues and challenges. The purpose of this critical review was to discuss the basic principles, present current applications during the first pandemic wave, and propose future implications of this methodology. For this purpose, both primary sources, such as scientific articles, and secondary ones, such as bibliographic indexes, web pages, and databases, were used. The main search engines were PubMed, SciELO, and Google Scholar. The method was a systematic literature review of the available literature regarding the performance of the fuzzy multi-criteria decision analysis of emergency systems in the COVID-19 pandemic. The results of this study highlight the importance of the fuzzy multi-criteria decision analysis method as a beneficial tool for healthcare workers and first responders’ emergency professionals to face this pandemic as well as to manage the created uncertainty and its related risks.

Keywords: fuzzy decision analysis; decision making; uncertainty; multi-criteria; emergency; COVID-19 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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