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The applications of MCDM methods in COVID-19 pandemic: A state of the art review
Likened to the economic calamity of World War Two, the COVID-19 pandemic has sparked
fears of a deep economic crisis, killed more than six million people worldwide and had a …
fears of a deep economic crisis, killed more than six million people worldwide and had a …
Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review
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 …
and has a remarkable effect on global health care delivery occurs amongst the ongoing …
[HTML][HTML] Selection of electric bus models using 2-tuple linguistic T-spherical fuzzy-based decision-making model
Due to energy's global reliance on fossil fuels and population growth, Greenhouse gas
(GHG) emissions and their repercussions have attracted attention. Due to their cheaper cost …
(GHG) emissions and their repercussions have attracted attention. Due to their cheaper cost …
Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …
research gaps, challenges and open issues in the academic literature related to the …
Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature
Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and
health sectors are incapable of making fast and reliable decisions, particularly given the …
health sectors are incapable of making fast and reliable decisions, particularly given the …
[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
Determining importance of many-objective optimisation competitive algorithms evaluation criteria based on a novel fuzzy-weighted zero-inconsistency method
Along with the developments of numerous MaOO algorithms in the last decades, comparing
the performance of MaOO algorithms with one another is also highly needed. Many studies …
the performance of MaOO algorithms with one another is also highly needed. Many studies …
A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
[HTML][HTML] Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients
Introduction The vaccine distribution for the COVID-19 is a multicriteria decision-making
(MCDM) problem based on three issues, namely, identification of different distribution …
(MCDM) problem based on three issues, namely, identification of different distribution …
A systematic literature review of fuzzy-weighted zero-inconsistency and fuzzy-decision-by-opinion-score-methods: assessment of the past to inform the future
Abstract The Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Fuzzy-Decision-by-Opinion-
Score-Method (FDOSM) are considered the recent advance methods. FDOSM generates a …
Score-Method (FDOSM) are considered the recent advance methods. FDOSM generates a …