Abstract:Humanitarian rescue has become an important part of government emergency management in China. In order to select the optimal humanitarian rescue scheme accurately and in a timely manner in an emergency, reduce the harm of disasters to human life and health, and improve the government’s emergency management ability, a multi-attribute emergency group decision-making method is proposed. First, interval-valued intuitionistic fuzzy sets are used to express the preferences of decision-makers, and interval-valued int… Show more
“… Author(s) and year Research focus GDM Parameter type SA CA Method(s) Country (Main) criteria Sub-criteria Alt. Belhadi et al (2020) Adapting waste management Yes IVF Yes No LCA, LCC, AHP, VIKOR Morocco 4 17 5, 5 Biswas and Das (2020) SC barrier evaluation Yes Fuzzy No No AHP India 5 − − Kaya (2020) Development impact assessment Yes Deterministic Yes Yes MAIRCA OECD 8 − 33 Ocampo and Yamagishi (2020) Lockdown protocol evaluation Yes IF No No DEMATEL Philippines 13 − − Ali Shah et al (2021) Adapting waste management Yes Fuzzy No No DEMATEL, ANP, VIKOR Pakistan 3 9 7 Bait et al (2021) Locating indicator evaluation Yes Deterministic No No AHP, TOPSIS Ghana 7 34 − Deng and Kong (2021) Rescue scheme selection Yes IVIF No No TOPSIS …”
Section: Literature Reviewmentioning
confidence: 99%
“… Bait et al (2021) assessed criteria for locating manufacturing plants for the textile industry based on the COVID-19 impact. Deng and Kong (2021) explored the humanitarian rescue process and evaluated emergency plans under multiple criteria. Ecer and Pamucar (2021) assessed the performances of insurance companies in health services during COVID-19.…”
The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. Firstly, a multi-level decision-making hierarchy structure based on four main criteria and 17 sub-criteria is introduced for relevant stakeholders to provide a practical framework for assessing existing transport plans. Then, a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented. The model hybridizes the method based on the removal effects of criteria (MEREC) and combined compromise solution (CoCoSo) method into a unique methodological framework under the Fermatean fuzzy environment. A case study provides decision-making guidelines on how to adapt transport plans to COVID-19 in the real-world context of Belgrade, Serbia. The research findings show that the pandemic significantly changed the priorities of transport planning strategies and measures. “Non-motorized travel” is now the best alternative since its numerous short-term measures lead to better transport service. The major advantages of the introduced model are higher flexibility and a more precise fusion of experts’ preference information. The integrated Fermatean fuzzy model could be used for adapting other emerging problems to COVID-19.
“… Author(s) and year Research focus GDM Parameter type SA CA Method(s) Country (Main) criteria Sub-criteria Alt. Belhadi et al (2020) Adapting waste management Yes IVF Yes No LCA, LCC, AHP, VIKOR Morocco 4 17 5, 5 Biswas and Das (2020) SC barrier evaluation Yes Fuzzy No No AHP India 5 − − Kaya (2020) Development impact assessment Yes Deterministic Yes Yes MAIRCA OECD 8 − 33 Ocampo and Yamagishi (2020) Lockdown protocol evaluation Yes IF No No DEMATEL Philippines 13 − − Ali Shah et al (2021) Adapting waste management Yes Fuzzy No No DEMATEL, ANP, VIKOR Pakistan 3 9 7 Bait et al (2021) Locating indicator evaluation Yes Deterministic No No AHP, TOPSIS Ghana 7 34 − Deng and Kong (2021) Rescue scheme selection Yes IVIF No No TOPSIS …”
Section: Literature Reviewmentioning
confidence: 99%
“… Bait et al (2021) assessed criteria for locating manufacturing plants for the textile industry based on the COVID-19 impact. Deng and Kong (2021) explored the humanitarian rescue process and evaluated emergency plans under multiple criteria. Ecer and Pamucar (2021) assessed the performances of insurance companies in health services during COVID-19.…”
The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. Firstly, a multi-level decision-making hierarchy structure based on four main criteria and 17 sub-criteria is introduced for relevant stakeholders to provide a practical framework for assessing existing transport plans. Then, a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented. The model hybridizes the method based on the removal effects of criteria (MEREC) and combined compromise solution (CoCoSo) method into a unique methodological framework under the Fermatean fuzzy environment. A case study provides decision-making guidelines on how to adapt transport plans to COVID-19 in the real-world context of Belgrade, Serbia. The research findings show that the pandemic significantly changed the priorities of transport planning strategies and measures. “Non-motorized travel” is now the best alternative since its numerous short-term measures lead to better transport service. The major advantages of the introduced model are higher flexibility and a more precise fusion of experts’ preference information. The integrated Fermatean fuzzy model could be used for adapting other emerging problems to COVID-19.
“…The comparative treatment of coronavirus with MCDM techniques was developed by Yildirim et al (2021) . Some author’s studies in this area like as Deng and Kong (2021) , Pamucar et al (2021) , Ouyang et al (2021) , Apolloni (2021) , and Requia et al (2020) . Fig.…”
“…Multi-attribute decision making is an important part of decision theory and modern decision science [1]. It has been widely used in investment decision making [2], project evaluation [3], scheme selection [4], factory site selection [5,6], comprehensive evaluation of economic benefits [7], etc. Therefore, it is of great practical and theoretical significance to study effective and practical multi-attribute decision making methods.…”
Selecting reasonable suppliers can effectively improve the efficiency of enterprise supply chain management. Among them, expert evaluation is an important part of supplier selection problem, but the uncertainty, fuzziness and incompleteness of expert opinions make supplier selection problem difficult to solve. In order to systematically and effectively solve the uncertainty, ambiguity and incompleteness in supplier selection problem, this paper presents a new supplier selection method based on D numbers and transformation function. First, fuzzy preference relation is generated based on the decision matrix of pairwise comparisons given by experts. D numbers which can effectively deal with uncertain information extend fuzzy preference relation (D matrix). Second, the D matrix is converted into a crisp matrix form based on the integration representation of D numbers according to different situations whether or not the information in D matrix is complete. Third, the crisp matrix is converted into judgement matrix by using the transformation functions. Finally, analytic hierarchy process (AHP) method is applied based on the judgment matrix to give a priority weights for decision making. Three numerical examples and application of the supplier selection are used to show the feasibility and effectiveness of the proposed method.
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