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Demir AT, Moslem S. Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment. Heliyon 2024; 10:e26997. [PMID: 38486721 PMCID: PMC10937520 DOI: 10.1016/j.heliyon.2024.e26997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/09/2024] [Accepted: 02/22/2024] [Indexed: 03/17/2024] Open
Abstract
The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to a notable increase in medical waste generation. Consequently, extensive research has focused on sustainable disposal methods to handle used medical equipment safely. Given the necessity to evaluate these methods considering qualitative and quantitative criteria, this falls within the realm of multi-criteria decision-making (MCDM). This study introduces a framework for selecting the most suitable medical waste treatment methods, taking into account economic, technological, environmental, and social aspects. Sixteen criteria were assessed using the Fuzzy Preference Selection Index (F-PSI) to determine the optimal waste disposal approach. Additionally, the Fuzzy Compromise Ranking of Alternatives from Distance to Ideal Solution (F-CRADIS) method was employed to evaluate nine technologies for medical waste disposal. Notably, disinfection efficiency emerged as the most crucial criterion, with autoclaving identified as the preferred method for medical waste treatment. A practical case study conducted in Sivas, Turkey, validates the feasibility of these strategies. Multiple sensitivity analyses were performed to ensure the stability and reliability of the proposed approach.
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Affiliation(s)
- Ahmet Turan Demir
- Department of Biomaterials and Tissue Engineering, Institute of Graduate Studies, Tokat Gaziosmanpaşa University, 60250, Tokat, Turkey
| | - Sarbast Moslem
- School of Architecture Planning and Environmental Policy, University College Dublin, Belfield, Dublin 15, D04 V1W8, Ireland
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2
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Shanta MH, Choudhury IA, Salman S. Municipal solid waste management: Identification and analysis of technology selection criteria using Fuzzy Delphi and Fuzzy DEMATEL technique. Heliyon 2024; 10:e23236. [PMID: 38163177 PMCID: PMC10754890 DOI: 10.1016/j.heliyon.2023.e23236] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024] Open
Abstract
Municipal solid waste management (MSWM) poses a considerable challenge to developing countries like Bangladesh because of the rising waste generation rates and lack of effective management practices such as illegal open dumping and informal waste collection. One of the crucial factors in the successful management of MSW is to select the appropriate technology which is a complex multi-criteria and laborious process. Despite the global emphasis on the importance of MSWM in the literature, there is a lack of studies conducted in developing countries that effectively identify and analyze the critical performance criteria for appropriate technology selection. This research aims to address this shortcoming by identifying, and prioritizing the selection criteria and finally investigating the inter-relationship between them and the degree to which they affect or are affected by one another. First, a thorough literature review and expert consultation were employed to determine a set of 21 key criteria using the Fuzzy Delphi method (FDM). Later, taking into account the imprecise and subjective nature of the DEMATEL method on human judgements, the Fuzzy DEMATEL technique was employed to investigate the cause-effect relationships among the identified criteria. The findings of the study demonstrated that 14 criteria were categorized as causal elements that have the most significant influence on the MSWM technology selection process and 7 criteria were categorized as effect. The selection of MSWM technology demands greater consideration of the top three ranked criteria, namely T4- Access to Technology (AT), T8- Feasibility (F), and the Ec6-Infrastructure requirements (IR). By identifying the pertinent criteria, structures and interrelationships, the outcome of the study can facilitate a better understanding of causal relationships among the criteria that require specific consideration from the decision-makers and allow them to select appropriate MSW management technology.
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Affiliation(s)
- Mehedi Hasan Shanta
- Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, 1208, Bangladesh
| | | | - Sheak Salman
- Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, 1208, Bangladesh
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3
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Luo X, Wang Z, Yang L, Lu L, Hu S. Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets. PLoS One 2023; 18:e0290093. [PMID: 37708233 PMCID: PMC10501681 DOI: 10.1371/journal.pone.0290093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 03/14/2023] [Indexed: 09/16/2023] Open
Abstract
Considering economic, environmental, and social issues, the sustainability of the supply chain has drawn considerable attention due to societal and environmental changes within the supply chain network. The strategic study of the entire supply chain process and maximizing an organization's competitive advantage depend heavily on supplier selection based on sustainable indicators. Selecting sustainable suppliers for the supply chain is challenging since it is a multi-criteria decision-making (MCDM) problem with significant uncertainty in the decision-making process. This study uses the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique and single-valued neutrosophic sets (SVNS) to deal with the challenge of choosing a sustainable supplier with insufficient information. This method reduces the influence of personal experience and preference on the final evaluation results and the problem of excessive individual regret caused by factor correlation and improves the consistency of evaluation results. Finally, the method's success and adaptability are demonstrated by sensitivity analysis and additional comparison analysis, and the benefits and drawbacks of the suggested framework are examined. Compared to other approaches, it can assist decision-makers in communicating fuzzy and uncertain information, offering a perspective and approach for MCDM in the face of such situations, and helping them select suppliers of high caliber and who practice sustainable business practices.
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Affiliation(s)
- Xiaochun Luo
- College of Economics and Management, Nanjing University of Aeronautics and Astronautis, Nanjing, China
- School of Economics and Management, Guangxi Normal University, Guilin, China
| | - Zilong Wang
- College of Economics and Management, Nanjing University of Aeronautics and Astronautis, Nanjing, China
| | - Liguo Yang
- School of Business, Hohai University, Nanjing, China
| | - Lin Lu
- School of Economics and Management, Guangxi Normal University, Guilin, China
| | - Song Hu
- School of Economics and Management, Guangxi Normal University, Guilin, China
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4
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Wykes T. What is evidence? bridging the gap between trials and treatment implementation. J Ment Health 2023; 32:717-719. [PMID: 37494405 DOI: 10.1080/09638237.2023.2210672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 07/28/2023]
Affiliation(s)
- Til Wykes
- Psychology, King's College London - Denmark Hill Campus, London, United Kingdom of Great Britain and Northern Ireland
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Krishnan AR, Hamid MR, Tanakinjal GH, Asli MF, Boniface B, Ghazali MF. An investigation to offer conclusive recommendations on suitable benefit/cost criteria-based normalization methods for TOPSIS. MethodsX 2023; 10:102227. [PMID: 37333510 PMCID: PMC10272499 DOI: 10.1016/j.mex.2023.102227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 05/20/2023] [Indexed: 06/20/2023] Open
Abstract
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a popular multi-criteria decision-making method that ranks the available alternatives by examining the ideal-positive and ideal-negative solutions for each decision criterion. The first step of using TOPSIS is to normalize the presence of incommensurable data in the decision matrix. There are several normalization methods, and the choice of these methods does affect TOPSIS results. As such, some efforts were made in the past to compare and recommend suitable normalization methods for TOPSIS. However, such studies merely compared a limited collection of normalization methods or used a noncomprehensive procedure to evaluate each method's suitability, leading to equivocal recommendations. This study, therefore, employed an alternate, comprehensive procedure to evaluate and recommend suitable benefit/cost criteria-based normalization methods for TOPSIS (out of ten methods extracted from past literature). The procedure was devised based on three evaluation metrics: the average Spearman's rank correlation, average Pearson correlation, and standard deviation metrics, combined with the Borda count technique.•The first study examined the suitability of ten benefit/cost criteria-based normalization methods over TOPSIS.•Users should combine the sum-based method and vector method into the TOPSIS application for safer decision-making.•The maximum method (version I) or Jüttler's-Körth's method has an identical effect on TOPSIS results.
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Affiliation(s)
- Anath Rau Krishnan
- Labuan Faculty of International Finance, University Malaysia Sabah, Jalan Sg. Pagar, 87000, Labuan F.T., Malaysia
| | - Mohamad Rizal Hamid
- Labuan Faculty of International Finance, University Malaysia Sabah, Jalan Sg. Pagar, 87000, Labuan F.T., Malaysia
| | - Geoffrey Harvey Tanakinjal
- Labuan Faculty of International Finance, University Malaysia Sabah, Jalan Sg. Pagar, 87000, Labuan F.T., Malaysia
| | - Mohammad Fadhli Asli
- Faculty of Computing and Informatics, University Malaysia Sabah, Jalan Sg. Pagar, 87000, Labuan F.T., Malaysia
| | - Bonaventure Boniface
- Centre for the Promotion of Knowledge and Language, Universiti Malaysia Sabah, Jalan UMS, 88400, Sabah, Malaysia
| | - Mohd Fahmi Ghazali
- Faculty of Economics and Management, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
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Santucci F, Nobili M, Faramondi L, Oliva G, Mazzà B, Scala A, Ciccozzi M, Setola R. Evaluating the COVID-19 impact in Italian regions via multi criteria analysis. PLoS One 2023; 18:e0285452. [PMID: 37163510 PMCID: PMC10171687 DOI: 10.1371/journal.pone.0285452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 04/24/2023] [Indexed: 05/12/2023] Open
Abstract
Italy was the first European country to be significantly impacted by the COVID-19 pandemic. The lack of similar previous experiences and the initial uncertainty regarding the new virus resulted in an unpredictable health crisis with 243,506 total confirmed cases and 34,997 deaths between February and July 2020. Despite the panorama of precariousness and the impelling calamity, the country successfully managed many aspects of the early stages of the health and socio-economic crisis. Nevertheless, many disparities can be identified at the regional level. The study aims to determine which aspects of regional management were considered more important by the citizens regarding economic and health criteria. A survey was designed to gather responses from the population on the Italian regions' response and provide a ranking of the regions. The 29-item online survey was provided to 352 individuals, and the collected data were analyzed using the Analytic Hierarchy Process methodology. The results show a general agreement in considering of greater relevance the healthcare policies rather than the economic countermeasures adopted by regional governments. Our analysis associated a weight of 64% to the healthcare criteria compared to the economic criteria with a weight of 36%. In addition to the results obtained from the Analytic Hierarchy Process, the sample's composition was analyzed to provide an overall assessment of the Italian regions. To do so, we collected objective data for each region and multiplied them by the overall weight obtained for each sub-criteria. Looking at the propensity to vaccination or the belief in a relation between COVID-19 and 5G according to age and educational qualification helps understand how public opinion is structured according to cultural and anthropological differences.
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Affiliation(s)
- Francesca Santucci
- Unit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Martina Nobili
- Unit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Luca Faramondi
- Unit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Gabriele Oliva
- Unit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Bianca Mazzà
- Unit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Antonio Scala
- ISC-CNR Physics Department, Università La Sapienza, Roma, Italy
- Global Health Security Agenda – GHSA Italy
| | - Massimo Ciccozzi
- Medical Statistic and Molecular Epidemiology Unit, University of Biomedical Campus, Rome, Italy
| | - Roberto Setola
- Unit of Automatic Control, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy
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Hosseini-Motlagh SM, Samani MRG, Karimi B. Resilient and social health service network design to reduce the effect of COVID-19 outbreak. ANNALS OF OPERATIONS RESEARCH 2023; 328:1-73. [PMID: 37361086 PMCID: PMC10169215 DOI: 10.1007/s10479-023-05363-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/17/2023] [Indexed: 06/28/2023]
Abstract
With the severe outbreak of the novel coronavirus (COVID-19), researchers are motivated to develop efficient methods to face related issues. The present study aims to design a resilient health system to offer medical services to COVID-19 patients and prevent further disease outbreaks by social distancing, resiliency, cost, and commuting distance as decisive factors. It incorporated three novel resiliency measures (i.e., health facility criticality, patient dissatisfaction level, and dispersion of suspicious people) to promote the designed health network against potential infectious disease threats. Also, it introduced a novel hybrid uncertainty programming to resolve a mixed degree of the inherent uncertainty in the multi-objective problem, and it adopted an interactive fuzzy approach to address it. The actual data obtained from a case study in Tehran province in Iran proved the strong performance of the presented model. The findings show that the optimum use of medical centers' potential and the corresponding decisions result in a more resilient health system and cost reduction. A further outbreak of the COVID-19 pandemic is also prevented by shortening the commuting distance for patients and avoiding the increasing congestion in the medical centers. Also, the managerial insights show that establishing and evenly distributing camps and quarantine stations within the community and designing an efficient network for patients with different symptoms result in the optimum use of the potential capacity of medical centers and a decrease in the rate of bed shortage in the hospitals. Another insight drawn is that an efficient allocation of the suspect and definite cases to the nearest screening and care centers makes it possible to prevent the disease carriers from commuting within the community and increase the coronavirus transmission rate.
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Affiliation(s)
- Seyyed-Mahdi Hosseini-Motlagh
- School of Industrial Engineering, Iran University of Science and Technology, University Ave, Narmak, Tehran, 16846 Iran
| | - Mohammad Reza Ghatreh Samani
- School of Industrial Engineering, Iran University of Science and Technology, University Ave, Narmak, Tehran, 16846 Iran
| | - Behnam Karimi
- School of Industrial Engineering, Iran University of Science and Technology, University Ave, Narmak, Tehran, 16846 Iran
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8
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Route selection in multimodal supply chains: A Fuzzy Risk Assessment Model-BWM-MARCOS framework. Appl Soft Comput 2023. [DOI: 10.1016/j.asoc.2023.110167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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9
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Teja DR, Kumar PSS, Jariwala N. Application of multi-criteria decision-making techniques to develop modify-leachate pollution index. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:41172-41186. [PMID: 36630033 DOI: 10.1007/s11356-023-25178-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/03/2023] [Indexed: 06/17/2023]
Abstract
The modify-leachate pollution index (m-LPI) was developed with the help of multi-criteria decision-making (MCDM) technique based on the landfill leachate pollution potential by considering the limitations of traditional methodologies. Across India, twenty major landfill sites (LS) were selected for which m-LPI was assessed. Twenty-five experts' opinions were taken for the determination of nine input criteria weights, such as pH, COD, TDS, Cl, Zn, Pb, Cu, annual rainfall, and landfill age with the help of a questionnaire-based survey. In this context, six MCDM techniques were investigated to develop m-LPI. Among different MCDM techniques selected, weighted aggregated sum product assessment (WASPAS) proved to be an effective one with an R2 value of 0.828 and IA value of 0.813. WASPAS gave first and last rank to Kadapa, Andhra Pradesh LS (1.677) and Turbhe, Maharashtra LS (2.193), respectively. The investigation revealed that around 90% of LS considered in the present study require leachate treatment. WASPAS sensitivity analysis showed that the least sensitive criteria were pH, followed by Cl and Zn. The m-LPI can be used by researchers and scientists to investigate and evaluate various challenges involved with solid waste management in LS.
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Affiliation(s)
- Dharmasanam Ravi Teja
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India
| | | | - Namrata Jariwala
- Civil Engineering Department, S.V. National Institute of Technology, Surat, India.
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10
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Adabavazeh N, Nikbakht M, Tirkolaee EB. Identifying and prioritizing resilient health system units to tackle the COVID-19 pandemic. SOCIO-ECONOMIC PLANNING SCIENCES 2023; 85:101452. [PMID: 36275860 PMCID: PMC9578973 DOI: 10.1016/j.seps.2022.101452] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/14/2022] [Accepted: 10/10/2022] [Indexed: 06/02/2023]
Abstract
Since human health greatly depends on a healthy and risk-free social environment, it is very important to have a concept to focus on improving epidemiology capacity and potential along with economic perspectives as a very influential factor in the future of societies. Through responsible behavior during an epidemic crisis, the health system units can be utilized as a suitable platform for sustainable development. This study employs the Best-Worst Method (BWM) in order to develop a system for identifying and ranking health system units with understanding the nature of the epidemic to help the World Health Organization (WHO) in recognizing the capabilities of resilient health system units. The purpose of this study is to identify and prioritize the resilient health system units for dealing with Coronavirus. The statistical population includes 215 health system units in the world and the opinions of twenty medical experts are also utilized as an informative sample to localize the conceptual model of the study and answer the research questionnaires. The resilient health system units of the world are identified and prioritized based on the statistics of "Total Cases", "Total Recovered", "Total Deaths", "Active Cases", "Serious", "Total Tests" and "Day of Infection". The present descriptive cross-sectional study is conducted on Worldometer data of COVID-19 during the period of 17 July 2020 at 8:33 GMT. According to the results, the factors of "Total Cases", "Total Deaths", "Serious", "Active Cases", "Total Recovered", "Total Tests" and "Day of Infection" are among the most effective ones, respectively, in order to have a successful and optimal performance during a crisis. The attention of health system units to the identified important factors can improve the performance of epidemiology system. The WHO should pay more attention to low-resilience health system units in terms of promoting the health culture in crisis management of common viruses. Considering the importance of providing health services as well as their significant effect on the efficiency of the world health system, especially in critical situations, resilience analysis with the possibility of comparison and ranking can be an important step to continuously improve the performance of health system units.
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Affiliation(s)
- Nazila Adabavazeh
- Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
| | - Mehrdad Nikbakht
- Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
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Group AHP framework based on geometric standard deviation and interval group pairwise comparisons. Inf Sci (N Y) 2023. [DOI: 10.1016/j.ins.2023.01.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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12
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Wang TC, Huang SL. Fuzzy incomplete linguistic preference relations. Soft comput 2023; 27:2299-2323. [PMID: 36540663 PMCID: PMC9756748 DOI: 10.1007/s00500-022-07701-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/23/2022] [Indexed: 12/23/2022]
Abstract
The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents the fuzzy incomplete linguistic preference relations (Fuzzy InLinPreRa) approach as evaluated by decision-makers dealing with increasing complexity and uncertain economics, as well as social and managerial problems. By using Fuzzy InLinPreRa, the consistency measurements of decision-makers' evaluations will provide more accurate and reasonable solutions, allowing decision-makers to consider the objective weights of both the criteria and experts. An empirical example of the measurement of brand personality is included herein to demonstrate the feasibility of this method.
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Affiliation(s)
- Tien-Chin Wang
- grid.412071.10000 0004 0639 0070Department of International Business, National Kaohsiung University of Science and Technology, 415 Jian Gong Rd., Kaohsiung City, 80778 Taiwan
| | - Shu-Li Huang
- grid.412071.10000 0004 0639 0070Department of International Business, National Kaohsiung University of Science and Technology, 415 Jian Gong Rd., Kaohsiung City, 80778 Taiwan
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Sotoudeh-Anvari M, Sotoudeh-Anvari A. Setback in ranking fuzzy numbers: a study in fuzzy risk analysis in diabetes prediction. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10282-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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