Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic

Zolfani, Sarfaraz Hashemkhani; Yazdani, Morteza; Torkayesh, Ali Ebadi; Derakhti, Arman

doi:10.3390/sym12060886

Cited by 68 publications

(29 citation statements)

References 31 publications

(49 reference statements)

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“…It has reflected the healthcare reality of nations (Caligiuri et al, 2020;Tripathi et al, 2019). For example, the German government was able to save its citizen more than other European Union countries from COVID-19 because of the larger number of hospitals (Zolfani et al, 2020). The mortality and morbidity of this pandemic have highlighted the importance of healthcare access.…”

Section: Introductionmentioning

confidence: 99%

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

2021

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Identification of hospital sites and their ranking is important for the planning and development of any country's health infrastructure. The site selection problem is a typical multi-criteria decision making problem involving multiple stakeholders and their interests. Multi-Criteria Decision Analysis (MCDA) is a promising approach to solve a location-based problem due to the constitution of various criteria involved in decision making. In this research, eleven criterion are chosen which are classified under three main criteria; socio-economic, geographical and environmental. This research aims to identify the appropriate MCDA method for the selection of a new hospital sites. Here, two MCDA methods named Analytical Hierarchy Process (AHP) and Fuzzy AHP (FAHP) are used. Further, Geographical Information System (GIS) based MCDA methodology is proposed in this paper. The results obtained with both AHP and FAHP methods are compared. This comparison is based on criterion rankings, proposed hospital locations and sensitivity analysis. The main difference in results is shown in the result of sensitivity analysis in which constant variation in site ranking is obtained when weight change analysis is performed using AHP. The FAHP result shows only one variation in site ranking after a change in weight from ?10 to ?20%. The result suggests that FAHP may be a better approach to the hospital site selection problem.

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Section: Introductionmentioning

confidence: 99%

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

2021

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“…Ecer and Pamucar [72] integrated the fuzzy BWM and CoCoSo methods with Bonferroni functions to assess sustainable suppliers for the home appliance industry. Hashemkhani Zolfani et al [73] applied the grey CoCoSo method to evaluate locations for a temporary hospital for infected patients with COVID-19. They used the CRITIC method to determine objective criteria weights.…”

Section: Applications and Extensions Of The Cocoso Methodsmentioning

confidence: 99%

Picture Fuzzy Decision-Making Approach for Sustainable Last-Mile Delivery

et al. 2020

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In light of the increasing importance of last-mile delivery (LMD) and the associated high costs, air pollution, and logistical challenges, research on sustainable LMD is highly trending and dynamic. The selection of sustainable LMD mode is an emerging problem for decision-makers in the logistics industry. The key question is how to determine the best LMD mode from a set of alternatives under numerous criteria with ambiguous, vague, and uncertain sustainability-related information. This paper aims to provide an advanced decision-making approach for sustainable LMD. Firstly, 20 sustainable LMD mode evaluation criteria are identified. Secondly, picture fuzzy sets (PFSs) are exploited to help decision-makers to more naturally express their preferences by voting. Thirdly, a hybrid picture fuzzy criteria weighting method based on the Direct rating and R-norm entropy is developed to compute the importance of evaluation criteria. Fourthly, a novel picture fuzzy Combined Compromise Solution method is formulated to rank alternative LMD modes. Fifthly, the presented picture fuzzy approach for sustainable LMD is implemented in the real-life decision-making context. The results show that "e-cargo bike" is the best alternative in the Pardubice context. The comparative analysis with three state-of-the-art PFS-based MCDM methods approved the high reliability of the provided approach. The sensitivity analyses of the trade-off parameter and balancing factor confirmed the high robustness of the presented approach. The introduced approach can help decision-makers in the logistics industry to elucidate sustainable LMD mode. It can solve not only the highlighted problem but also other MCDM problems under the picture fuzzy environment.

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“…They concluded that the isolation hospitals have a great support on reducing the number of mortalities as highlighted by Zeng et al 38 Lastly, the process of setting up isolation hospitals is studied by Shen et al 39 Albeit, many studies were conducted on the importance and impacts of setting up isolation hospitals, and the section selection criteria, none of them proposed an approach to determine the best location for isolation hospitals. The most related study is done by Hashemkhani Zolfani et al, 40 which determines the most appropriate location for a temporary hospital. Therefore, we proposed a Delphi‐based BWM and interval type‐2 fuzzy TOPSIS as an integrated MCDM framework for the location selection of an isolation hospital.…”

Section: Literature Reviewmentioning

confidence: 99%

Determining the location of isolation hospitals for COVID‐19 via Delphi‐based MCDM method

Aydın

Şeker

2021

Int J Intell Syst

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The existing contagious epidemic disease, [SARS]‐CoV‐2, has been one of the biggest public health problems that humankind combatting against since December 2019. Answering the increase in the number of infected patients during the pandemic is one of the biggest challenges for healthcare systems, where resources have already been employed by a significant number of patients. While assigning most of the resources to infected people is an effective way in a short‐term planning, its bitter effects on regular healthcare cannot be undervalued. Moreover, within this plan the risk of spreading the disease to other patients and healthcare providers is another risk that should not be underestimated. Therefore, in this study, we proposed the Delphi‐based multicriteria decision‐making (MCDM) framework for selecting the most appropriate location for an isolation hospital serving only epidemic‐based patients with mild to moderate symptoms. The integrated framework consists of Delphi, Best–Worst Method, and interval type‐2 fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies. Nine most effecting criteria are considered in the evaluation of five alternative locations in a real case study conducted at the European side of Istanbul. Ataturk Airport is determined as the best location to set up an isolation hospital based on determined nine evaluation criteria. The effectiveness and robustness of the framework are analyzed through comparative and sensitivity analyses.

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Application of a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic

Cited by 68 publications

References 31 publications

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India

Picture Fuzzy Decision-Making Approach for Sustainable Last-Mile Delivery

Determining the location of isolation hospitals for COVID‐19 via Delphi‐based MCDM method

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