Research Publication: Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature

Dr. Kareem Abbas Dawood, a faculty member of the Computer Science Department at Komar University, has published a paper with the title of “Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature” in a reputable international journal (International Journal of Intelligent Systems) under Wiley publisher, which is indexed by Clarivate (Thomson Reuters) with Impact factor: 8.709.

Abstract:

Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and health sectors are incapable of making fast and reliable decisions, particularly given the various effects of decisions on different contexts or countries across multiple sectors. Therefore, leaders often seek decision support approaches to assist them in such scenarios. The most common decision support approach used in this regard is multi-attribute decision-making (MADM). MADM can assist in enforcing the most ideal decision in the best way possible when fed with the appropriate evaluation criteria and aspects. Moreover, MADM shows resilience in mitigating consequences in health sectors and other fields. Therefore, this study aims to analyze the rise of MADM techniques in combating COVID-19 by presenting a systematic literature review of the state‐of‐the-art COVID‐19 applications.

Information about the journal:

Wiley , International Journal of Intelligent Systems, Impact factor:8.709, 2020 Journal Citation Reports (Clarivate Analytics): 12/139 (Computer Science, Artificial Intelligence), Online ISSN:1098-111X