PMID- 35103030 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220716 IS - 0269-2821 (Print) IS - 1573-7462 (Electronic) IS - 0269-2821 (Linking) VI - 55 IP - 6 DP - 2022 TI - Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review. PG - 4979-5062 LID - 10.1007/s10462-021-10124-x [doi] AB - The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives and has a remarkable effect on global health care delivery occurs amongst the ongoing global health crisis of patients and the required services. From the time of the first detection of infection amongst the public, researchers investigated various applications in the fight against the COVID-19 outbreak and outlined the crucial roles of different research areas in this unprecedented battle. In the context of existing studies in the literature surrounding COVID-19, related to medical treatment decisions, the dimensions of context addressed in previous multidisciplinary studies reveal the lack of appropriate decision mechanisms during the COVID-19 outbreak. Multiple criteria decision making (MCDM) has been applied widely in our daily lives in various ways with numerous successful stories to help analyse complex decisions and provide an accurate decision process. The rise of MCDM in combating COVID-19 from a theoretical perspective view needs further investigation to meet the important characteristic points that match integrating MCDM and COVID-19. To this end, a comprehensive review and an analysis of these multidisciplinary fields, carried out by different MCDM theories concerning COVID19 in complex case studies, are provided. Research directions on exploring the potentials of MCDM and enhancing its capabilities and power through two directions (i.e. development and evaluation) in COVID-19 are thoroughly discussed. In addition, Bibliometrics has been analysed, visualization and interpretation based on the evaluation and development category using R-tool involves; annual scientific production, country scientific production, Wordcloud, factor analysis in bibliographic, and country collaboration map. Furthermore, 8 characteristic points that go through the analysis based on new tables of information are highlighted and discussed to cover several important facts and percentages associated with standardising the evaluation criteria, MCDM theory in ranking alternatives and weighting criteria, operators used with the MCDM methods, normalisation types for the data used, MCDM theory contexts, selected experts ways, validation scheme for effective MCDM theory and the challenges of MCDM theory used in COVID-19 studies. Accordingly, a recommended MCDM theory solution is presented through three distinct phases as a future direction in COVID19 studies. Key phases of this methodology include the Fuzzy Delphi method for unifying criteria and establishing importance level, Fuzzy weighted Zero Inconsistency for weighting to mitigate the shortcomings of the previous weighting techniques and the MCDM approach by the name Fuzzy Decision by Opinion Score method for prioritising alternatives and providing a unique ranking solution. This study will provide MCDM researchers and the wider community an overview of the current status of MCDM evaluation and development methods and motivate researchers in harnessing MCDM potentials in tackling an accurate decision for different fields against COVID-19. CI - (c) The Author(s), under exclusive licence to Springer Nature B.V. 2022. FAU - Alsalem, M A AU - Alsalem MA AD - Department of Computing, Faculty of Arts, Computing and Creative Industry (FSKIK), Universiti Pendidikan Sultan Idris, Tanjung Malim, Malaysia. GRID: grid.444506.7. ISNI: 0000 0000 9272 6490 FAU - Alamoodi, A H AU - Alamoodi AH AD - Department of Computing, Faculty of Arts, Computing and Creative Industry (FSKIK), Universiti Pendidikan Sultan Idris, Tanjung Malim, Malaysia. GRID: grid.444506.7. ISNI: 0000 0000 9272 6490 FAU - Albahri, O S AU - Albahri OS AUID- ORCID: 0000-0002-7844-3990 AD - Department of Computing, Faculty of Arts, Computing and Creative Industry (FSKIK), Universiti Pendidikan Sultan Idris, Tanjung Malim, Malaysia. GRID: grid.444506.7. ISNI: 0000 0000 9272 6490 FAU - Dawood, K A AU - Dawood KA AD - Department of Computing Science, Komar University of Science and Technology (KUST), Sulaymaniyah, Iraq. GRID: grid.472327.7. ISNI: 0000 0004 5895 5512 FAU - Mohammed, R T AU - Mohammed RT AD - Department of Computing Science, Komar University of Science and Technology (KUST), Sulaymaniyah, Iraq. GRID: grid.472327.7. ISNI: 0000 0004 5895 5512 FAU - Alnoor, Alhamzah AU - Alnoor A AD - School of Management, Universiti Sains Malaysia, Pulau Pinang, Malaysia. GRID: grid.11875.3a. ISNI: 0000 0001 2294 3534 FAU - Zaidan, A A AU - Zaidan AA AD - Faculty of Engineering & IT, British, University in Dubia, Dubai, United Arab Emirates. FAU - Albahri, A S AU - Albahri AS AD - Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq. FAU - Zaidan, B B AU - Zaidan BB AD - Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, 64002 Douliou, Yunlin Taiwan. GRID: grid.412127.3. ISNI: 0000 0004 0532 0820 FAU - Jumaah, F M AU - Jumaah FM AD - Department of Advanced Applications and Embedded Systems, Intel Corporation, Plot 6, Bayan Lepas Technoplex, 11900 Pulau Pinang, Malaysia. AD - Computer Engineering and Software Engineering Department, Polytechnique Montreal, Montreal, Canada. GRID: grid.183158.6. ISNI: 0000 0004 0435 3292 FAU - Al-Obaidi, Jameel R AU - Al-Obaidi JR AD - Department of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Perak, Tanjong Malim Malaysia. GRID: grid.444506.7. ISNI: 0000 0000 9272 6490 LA - eng PT - Journal Article DEP - 20220127 PL - England TA - Artif Intell Rev JT - Artificial intelligence review JID - 9883087 PMC - PMC8791811 OTO - NOTNLM OT - COVID-19 OT - Characteristics OT - Development OT - Evaluation OT - Multicriteria decision making EDAT- 2022/02/02 06:00 MHDA- 2022/02/02 06:01 PMCR- 2022/01/27 CRDT- 2022/02/01 08:43 PHST- 2022/02/02 06:00 [pubmed] PHST- 2022/02/02 06:01 [medline] PHST- 2022/02/01 08:43 [entrez] PHST- 2022/01/27 00:00 [pmc-release] AID - 10124 [pii] AID - 10.1007/s10462-021-10124-x [doi] PST - ppublish SO - Artif Intell Rev. 2022;55(6):4979-5062. doi: 10.1007/s10462-021-10124-x. Epub 2022 Jan 27.