ArticleExpert systems with applications2022
An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection.
Article in Expert systems with applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 103 citations in OpenAlex.
- Robust consensus ordinal priority approach for improvisational emergency supplier selection under expert consensus ambiguity.Scientific reports · 2026Article
- Optimizing healthcare supply chain capacity planning during disasters using fuzzy AHP and TOPSIS methods.Scientific reports · 2025Article
- A decision-making framework for evaluating medical equipment suppliers under uncertainty.Scientific reports · 2025Article
- Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection.Entropy (Basel, Switzerland) · 2023Article
- Identifying and prioritizing resilient health system units to tackle the COVID-19 pandemic.Socio-economic planning sciences · 2023Article
- A probabilistic linguistic opinion dynamics method based on the DeGroot model for emergency decision-making in response to COVID-19.Computers & industrial engineering · 2022Article
- A BERT-Based Aspect-Level Sentiment Analysis Algorithm for Cross-Domain Text.Computational intelligence and neuroscience · 2022Article
- Impact of COVID-19 on the lives and mental health of children and adolescents.Frontiers in public health · 2022Article
- Shame: Does It Fit in the Workplace? Examining Supervisor Negative Feedback Effect on Task Performance.Psychology research and behavior management · 2022Article
- Government Health Expenditure, Economic Growth, and Regional Development Differences-Analysis Based on a Non-parametric Additive Model.Frontiers in public health · 2022Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic outbreak spread rapidly worldwide, posing a severe threat to human life. Due to its unpredictability and destructiveness, the emergency has aroused great common in society. At the same time, the selection of emergency medical supplier is one of the critical links in emergency decision-making, so undertaking appropriate decision-making using scientific tools becomes the primary challenge when an emergency outbreak occurs. The multi criteria group decision-making (MCGDM) method is an applicable and common method for choosing supplier. Nevertheless, because emergency medical supplier selection should consider regarding many aspects, it is difficult for decision makers (DMs) to develop a comprehensive assessment method for emergency medical supplier. Therefore, few academics have focused on emergency situation research by the MCGDM method, and the existing MCGDM method has some areas for improvement. In view of this situation, in this study, we propose a new MCGDM method, which considers the bidirectional influence relation of the criteria, consensus and the psychological factors of DMs. It providers a good aid in emergency decision-making and it could apply to other types of MCGDM research. Firstly, DMs give their assessment in interval type-2 fuzzy sets (IT2FSs). Secondly, an extended IT2FSs assessment method and a novel ISM-BWM-Cosine Similarity-Max Deviation Method (IBCSMDM) are used for weighing all alternatives. The TODIM (an acronym for interactive and multi-criteria decision-making in Portuguese) can obtain the ranking results under different risk attenuation factors. Eventually, this extended IT2FSs-IBCSMDM-TODIM method is applied in a real case in Wuhan in the context of COVID-19 to illustrate the practicability and usefulness.
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