Table 1.
The papers that applied MCDM methods for COVID-19 problems.
| Author(s) | Title | Journal | Method | Application field | The nationality of authors |
|---|---|---|---|---|---|
| Mardani et al. [102 ] | A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak | Applied soft computing | SWARA–WASPAS | Digital health interventions | Viet Nam, Iran, India |
| Ashraf and Abdullah [103 ] | Emergency decision support modeling for COVID-19 based on spherical fuzzy information | International Journal of Intelligent Systems | AHP-Entropy-TOPSIS-GRA | Emergency decision support system | Pakistan |
| Ocampo and Yamagishi [104 ] | Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis | Socio-Economic Planning Sciences | DEMATEL | Lockdown relaxation protocols | Philippines |
| Sharma et al. [105 ] | Developing a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic | International Journal of Logistics Research and Applications | SWARA | Sustainable supply chains | India, UK |
| Belhadi et al. [106 ] | Infectious Waste Management Strategy during COVID-19 Pandemic in Africa: an Integrated Decision-Making Framework for Selecting Sustainable Technologies | Environmental Management | AHP-VIKOR | Infectious Waste Management | Morocco, France, China, India |
| Chen and Lin [107 ] | Smart and automation technologies for ensuring the long-term operation of a factory amid the COVID-19 pandemic: an evolving fuzzy assessment approach | The International Journal of Advanced Manufacturing Technology | AHP-TOPSIS | Smart and automation technologies | Taiwan |
| Mohammed et al. [108 ] | Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods | IEEE ACCESS | Entropy-TOPSIS | COVID-19 diagnostic model | Iraq, Malaysia, Saudi Arabia, Spain |
| Ashraf et al. [109 ] | A new emergency response of spherical intelligent fuzzy decision process to diagnose of COVID19 | Soft Computing | TOPSIS-COPRAS | Control of spreading of COVID19 | Pakistan, Saudi Arabia |
| Requia et al. [110 ] | Risk of the Brazilian health care system over 5572 municipalities to exceed health care capacity due to the 2019 novel coronavirus (COVID-19) | Science of The Total Environment | AHP | Community attribute | Brazil, Canada, United States |
| Albahri et al. [111 ] | Detection-based prioritization: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy-TOPSIS methods | Artificial Intelligence In Medicine | Entropy-TOPSIS | Prioritization of patients with COVID-19 | Iraq, Malaysia |
| Alkan and Kahraman [112 ] | Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method | Applied Soft Computing | Entropy-TOPSIS | Government strategies | Turkey |
| Hezer et al. [113 ] | Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment | Journal of infection and public health | TOPSIS-VIKOR-COPRAS | Regional safety | Turkey |
| Hosseini et al. [114 ] | Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods | Expert Systems with Applications | DEMATEL-VIKOR | Ecotourism centers | Iran, Mexico |
| Manupati et al. [77 ] | Selection of the best healthcare waste disposal techniques during and post COVID-19 pandemic era | Journal of Cleaner Production | VIKOR | Health-care waste disposal techniques | India |
| Das et al. [115 ] | Habitat vulnerability in slum areas of India — What we learnt from COVID-19? | International Journal of Disaster Risk Reduction | AHP | Habitat vulnerability in slum areas | India |
| Majumdar et al. [116 ] | Prioritizing risk mitigation strategies for environmentally sustainable clothing supply chains: Insights from selected organizational theories | Sustainable Production and Consumption | TOPSIS | Sustainable clothing supply chains | India, China |
| Saraji et al. [117 ] | An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions | Artificial Intelligence Review | SWARA-MULTIMOORA | Higher education institutions | Iran, United States, Japan, India |
| Ecer and Pamucar [118 ] | MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services | Applied Soft Computing | Intuitionistic fuzzy weighted averaging-MARCOS | Health insurance companies | Turkey, Serbia |
| Ocampo et al. [119 ] | Classifying the degree of exposure of customers to COVID-19 in the restaurant industry: A novel intuitionistic fuzzy set extension of the TOPSIS-Sort | Applied Soft Computing | TOPSIS-Sort | Restaurant industry | Philippines |
| Aydin and Seker [120 ] | Determining the location of isolation hospitals for COVID-19 via Delphi-based MCDM method | International Journal of Intelligent Systems | BWM- TOPSIS |
Location of isolation hospitals | Turkey |
| Ahmad et al. [24 ] | Identification and prioritization of strategies to tackle COVID-19 outbreak: A group-BWM based MCDM approach | Applied Soft Computing | Group BWM | Strategies to tackle outbreak | India |
| Shah et al. [121 ] | Energy trilemma based prioritization of waste-to-energy technologies: implications for post-COVID-19 green economic recovery in Pakistan | Journal of Cleaner Production | DEMATEL-ANP-VIKOR | Waste-to-energy alternatives | China, Pakistan |
| Mohammed et al. [122 ] | Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralized/decentralized telemedicine hospitals based on AHP-group TOPSIS and matching component | Applied Intelligence | AHP-TOPSIS | Convalescent plasma transfusion | Malaysia, Iraq, Canada |
| Mishra et al. [123 ] | An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19) | Applied Soft Computing | Divergence measure-ARAS | Drug selection | India |
| Altuntas and Gok [76 ] | The effect of COVID-19 pandemic on domestic tourism: A DEMATEL method analysis on quarantine decisions | International Journal of Hospitality Management | DEMATEL | Domestic tourism | Turkey |
| Lin et al. [5], [6] | Improving Service Quality of Wealth Management Bank for High-Net-Worth Customers During COVID-19: A Fuzzy-DEMATEL Approach | International Journal of Fuzzy Systems | DEMATEL | Wealth management bank | Taiwan |
| Choudhury et al. [124 ] | Evaluating the Preparedness of Indian States against COVID-19 Pandemic Risk: A Fuzzy Multi-criteria Decision-Making Approach | Risk Analysis | AHP | Preparedness of Indian States | India |
| Goker [125 ] | A novel integrated intuitionistic fuzzy decision aid for agile outsourcing provider selection: a COVID-19 pandemic-based scenario analysis | Soft Computing | Intuitionistic fuzzy cognitive map-COPRAS | Outsourcing provider selection | Turkey |
| Boyacıand Şişman [126 ] | Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets | Environmental Science and Pollution Research | AHP-TOPSIS | Pandemic hospital site selection | Turkey |
| Chai et al. [127 ] | Z-uncertain probabilistic linguistic variables and its application in emergency decision making for treatment of COVID-19 patients | International Journal of Intelligent Systems | Maximizing deviation method-TOPSIS | Emergency decision making | China |
| Shadeed and Alawna [128 ] | GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine | International Journal of Disaster Risk Reduction | AHP | COVID-19 vulnerability mapping | Palestine |
| Ortiz-Barrios et al. [129 ] | A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case | International Journal of Disaster Risk Reduction | AHP-TOPSIS | The preparedness level of sales departments | Colombia, Italy, Turkey |
| Yao [130 ] | Fuzzy-based multi-criteria decision analysis of environmental regulation and green economic efficiency in a post-COVID-19 scenario: the case of China | Environmental Science and Pollution Research | AHP-VIKOR | Green economic efficiency | China |
| Özkan et al. [10 ] | Evaluation of criteria and COVID-19 patients for intensive care unit admission in the era of pandemic: A multi-criteria decision making approach | Computer Methods and Programs in Biomedicine | AHP-MULTIMOORA | COVID-19 patients for intensive care unit admission | Turkey |
| Ghorui et al. [131 ] | Identification of dominant risk factor involved in spread of COVID-19 using hesitant fuzzy MCDM methodology | Results in Physics | AHP-TOPSIS | Risk factors in spread of COVID-19 | India, Malaysia, Turkey, Italy |
| Yamagishi and Ocampo [132 ] | Utilizing TOPSIS-Sort for sorting tourist sites for perceived COVID-19 exposure | Current Issues in Tourism | TOPSIS-Sort | Tourist sites | Philippines |
| Kirişci et al. [70 ] | The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine | Neural Computing and Applications | VIKOR | Children in COVID-19 quarantine | Turkey |
| Kumar et al. [133 ] | Mitigate risks in perishable food supply chains: Learning from COVID-19 | Technological Forecasting and Social Change | BWM | Perishable food supply chains | India, China |
| Petrudi et al. [134 ] | Assessing suppliers considering social sustainability innovation factors during COVID-19 disaster | Sustainable Production and Consumption | BWM-improved GRA | Social sustainability of supply chains | Iran, Taiwan, Singapore |
| Hezam et al. [135 ] | COVID-19 Vaccine: A neutrosophic MCDM approach for determining the priority groups | Results in physics | AHP-TOPSIS | Optimum allocation of COVID-19 vaccines | Saudi Arabia, Yemen, Bangladesh |
| Hartanto and Mayasari [136 ] | Environmentally friendly non-medical mask: An attempt to reduce the environmental impact from used masks during COVID 19 pandemic | Science of the Total Environment | AHP | Environmentally friendly non-medical mask | Indonesia |
| Gao et al. [137 ] | A Study of COVID-19 in the Wuhan, Beijing, Urumqi and Dalian Cities based on the Regional Disease Vulnerability Index | Journal of Infection and Public Health | AHP | Regional disease vulnerability index | China, United States |
| Khurana et al. [9 ] | Now is the time to press the reset button: Helping India’s companies to become more resilient and effective in overcoming the impacts of COVID-19, climate changes and other crises | Journal of Cleaner Production | AHP | Sustainable supply chains | India, United States |
| Khan et al. [16], [17] | q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and Its Applications in Mass Vaccination Campaigns in the Context of COVID-19 | IEEE ACCESS | AHP-VIKOR | COVID-19 vaccine | Thailand, Pakistan, Taiwan, Saudi Arabia |
| Kumar and Kumar Singh [138 ] | Strategic framework for developing resilience in Agri-Food Supply Chains during COVID 19 pandemic | International Journal of Logistics Research and Applications | BWM | Agri-food supply chains | India |
| Asadi et al. [139 ] | Evaluation of Factors to Respond to the COVID-19 Pandemic Using DEMATEL and Fuzzy Rule-Based Techniques | International Journal of Fuzzy Systems | DEMATEL | Malaysia, Saudi Arabia, Australia |
|
| Paul et al. [140 ] | Supply chain recovery challenges in the wake of COVID-19 pandemic | Journal of Business Research | DEMATEL | Supply chain recovery | Australia, Bangladesh |
| Alam et al. [141 ] | Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals | International Journal of Production Economics | DEMATEL | COVID-19 vaccine supply chain | Bangladesh, Denmark, Canada |
| Shanker et al. [142 ] | Enhancing resiliency of perishable product supply chains in the context of the COVID-19 outbreak | International Journal of Logistics Research and Applications | DEMATEL-ANP | Perishable product supply chains | India, New Guinea, UK |
| Chen and Wang [143 ] | A calibrated piecewise-linear FGM approach for travel destination recommendation during the COVID-19 pandemic | Applied Soft Computing | AHP-TOPSIS | Travel destination recommendation | Taiwan |
| Palouj et al. [144 ] | Surveying the impact of the coronavirus (COVID-19) on the poultry supply chain: A mixed methods study | Food Control | AHP | Poultry supply chain | Iran |
| Altay et al. [71 ] | An intelligent approach for analyzing the impacts of the COVID-19 pandemic on marketing mix elements (7Ps) of the on-demand grocery delivery service | Complex & Intelligent Systems | AHP | On-demand grocery delivery service | Turkey |
| Samanci et al. [145 ] | Focusing on the big picture while observing the concerns of both managers and passengers in the post-COVID era | Journal of Air Transport Management | VIKOR | Service quality | Turkey |
| Razzaq et al. [8 ] | Different variants of pandemic and prevention strategies: A prioritizing framework in fuzzy environment | Results in Physics | AHP-VIKOR | Prevention strategies for COVID-19 | Pakistan |
| Alsalem et al. [146 ] | Based on T-spherical Fuzzy Environment: A Combination of FWZIC and FDOSM for Prioritizing COVID-19 Vaccine Dose Recipients | Journal of Infection and Public Health | FWZIC-FODSM | COVID-19 vaccine | Malaysia, Taiwan, Australia, Iraq |
| Albahri et al. [147 ] | Novel Dynamic Fuzzy Decision-Making Framework for COVID-19 Vaccine Dose Recipients | Journal of Advanced Research | FWZIC-FODSM | COVID-19 vaccine | Malaysia, Australia, China, Iraq |
| Albahri et al. [73 ] | Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods | Computer Methods and Programs in Biomedicine | SODOSM | Convalescent plasma transfusion | Malaysia, Iraq |
| Albahri et al. [148 ] | Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects | Journal of Infection and Public Health | AHP-VIKOR | Malaysia, Iraq | |
| Si et al. [149 ] | Picture fuzzy set-based decision-making approach using Dempster–Shafer theory of evidence and grey relation analysis and its application in COVID-19 medicine selection | Soft Computing | GRA | Medicine selection problem | India |
| Aydin and Yurdakul [79 ] | Assessing countries’ performances against COVID-19 via WSIDEA and machine learning algorithms | Applied Soft Computing | DEA | Countries’ performances against COVID-19 | Turkey |
| da Silveira Pereira and de Mello [12 ] | Efficiency evaluation of Brazilian airlines operations considering the Covid-19 outbreak | Journal of Air Transport Management | MCDEA | Efficiency evaluation of airlines | Brazil |
| Revuelta et al. [150 ] | A hybrid data envelopment analysis—artificial neural network prediction model for COVID-19 severity in transplant recipients | Artificial Intelligence Review | DEA | Prediction model for COVID-19 severity in transplant recipients | Spain, Italy |
| Mehmood et al. [151 ] | Spatiotemporal variability of COVID-19 pandemic in relation to air pollution, climate and socioeconomic factors in Pakistan | Chemosphere | GRA | China, Greece, Saudi Arabia, Pakistan |
|
| Orji and Ojadi [152 ] | Investigating the COVID-19 pandemic’s impact on sustainable supplier selection in the Nigerian manufacturing sector | Computers & Industrial Engineering | AHP-MULTIMOORA | Sustainable supplier selection | China, Nigeria |
| Wan et al. [93 ] | An integrated interval type-2 fuzzy technique for democratic–autocratic multi-criteria decision making | Knowledge-based Systems | BWM-VIKOR | Makeshift hospital selection problem | China |
| Karmaker et al. [153 ] | Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: Exploring drivers using an integrated model | Sustainable Production and Consumption | TISM | Sustainable supply chain | Bangladesh, Canada |
| Das et al. [154 ] | Building supply chain resilience in the era of COVID-19: An AHP-DEMATEL approach | Operations Management Research | AHP-DEMATEL | Supply chain networks | India, Turkey |
| Mahmoudi et al. [155 ] | Gresilient supplier selection through fuzzy ordinal priority approach: decision-making in post-COVID era | Operations Management Research | OPA | Supplier selection problem | China, United States |
| Wen and Liao [156 ] | Capturing attitudinal characteristics of decision-makers in group decision making: application to select policy recommendations to enhance supply chain resilience under COVID-19 outbreak | Operations Management Research | GLDS | Supply chain management | China |
| Sharma et al. [157 ] | Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains | Operations Management Research | AHP-WASPAS | Food Supply Chains | United Kingdom, India |
| Xiaozhen et al. [158 ] | A New Computational Method Based on Probabilistic Linguistic Z-Number with Unbalanced Semantics and Its Application to Multi-Criteria Group Decision Making | IEEE Access | MULTIMOORA | Medicine selection problem | China |
| Bragatto et al. [159 ] | The impact of the COVID-19 pandemic on the safety management in Italian Seveso industries | Journal of Loss Prevention in the Process Industries | AHP | Safety management system | Italy |