Decision making application in collaborative emergency response: A new PROMETHEE preference function

Nassereddine, Mohamad; Azar, Adel; Rajabzadeh, Ali; Afsar, Amir

doi:10.1016/j.ijdrr.2019.101221

Cited by 39 publications

(18 citation statements)

References 51 publications

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“…Deo [19] used integrated disaster management technology, a quantitative method, and big data analysis to create disaster and early warning models to reduce the impact of these disasters and provide a comprehensive method for disaster management systems. Nassereddine et al [20] presented a multi-criteria decision-making approach to evaluate emergency response systems by taking into account the interaction synergy. Borowska-Stefanska et al [21] developed an optimization pattern for the process of a preventive evacuation of people from flood-risk areas aimed at mitigating the negative effects of the flood.…”

Section: Emergency Relief For Natural Hazardsmentioning

confidence: 99%

Research on the Construction of a Natural Hazard Emergency Relief Alliance Based on the Public Participation Degree

et al. 2020

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At present, in light of new situations and the new task of natural hazard response, effective public participation in emergency relief has become an urgent task that can reduce economic losses and casualties. The purpose of this paper is to construct a natural hazard emergency relief alliance and analyze the mechanisms and dynamics of public participation. In this study, methods based on a multi-agent system were adopted, and we used different participants as heterogeneous agents with different attitudes and resources. Using four different processes, namely participation proposals, negotiation interval, negotiation decision-making function, and participation strategy, we comprehensively construct an emergency relief alliance for natural hazards. In addition, the dynamic public interaction process is analyzed and a construction algorithm is given. The experimental results show that the proposed method has better performance in alliance formation efficiency, negotiation efficiency, and agent utility. The research results illustrate that the public’s attitudes and resources influence the construction of emergency relief alliances; a greater degree of public participation contributes to a more efficient alliance formation. The findings of this study contribute to the promotion of public cooperation and improvement in the efficiency of natural hazard emergency relief.

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Section: Emergency Relief For Natural Hazardsmentioning

confidence: 99%

Research on the Construction of a Natural Hazard Emergency Relief Alliance Based on the Public Participation Degree

et al. 2020

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“…Sen et al [30] applied PROMETHEE II for selection of robot for industrial purpose. PROMETHEE method has been widely used widely to solve various MCDM problems such as airport location selection [31], service quality evaluation [32], and emergency response assessment [33].…”

Section: Literature Reviewmentioning

confidence: 99%

Critical ranking of steam handling unit using integrated cloud model and extended PROMETHEE for maintenance purpose

Panwar

Kumar

2020

Complex Intell. Syst.

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To determine the critical component in an industry is one of the most important tasks performed by maintenance personnel to choose the best maintenance policy. Therefore, the purpose of the current paper is to develop a methodology based on integrated cloud model and extended preference ranking organization method for enrichment evaluation (PROMETHEE) method for finding the most critical component of the framework by ranking the failure causes of the system from multiple decision maker perspective. For this purpose, ranking of failure causes is performed by taking into account five factors namely chances of occurrence of failure (F0), non-detection probability (Nd), downtime duration (Dd), spare part criticality (Spc) and safety risk (Sr). In this paper, first the primary and secondary weight of decision makers are calculated based on the uncertainty degree and divergence degree, respectively, to determine overall weight using cloud model theory by converting the uncertain linguistic evaluation matrix into interval cloud matrix, and then ranking of the steam handling subunit of paper making unit in a paper mill using extended PROMETHEE. The effectiveness of the proposed methodology is explained by considering steam handling subunit of paper making unit to find the critical component.

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“…Secondly, the consensus level between decision-makers is an important factor in decision-making which has been studied by some researchers [50,51], therefore we can include the consensus level in future sustainable supplier selection study. Furthermore, the presented method in this paper can be utilize to handle other MCDM problems, such as emergency management [52], site selection [53], and risk assessment [54], and so on, to further illustrate its effectiveness.…”

Section: Figurementioning

confidence: 99%

Sustainable Supplier Selection Based on Regret Theory and QUALIFLEX Method

Liu¹,

Bin²,

Shi³

et al. 2020

IJCIS

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Sustainable supplier selection is the essential core of sustainable supply chain management, which can directly influence the manufacturer's performance and can enormously enhance the manufacturer's competitiveness in the international market. However, most of the previous studies concerning sustainable supplier selection have less focused on the reliability of the decision-makers judgments and the application of regret theory. To fill this gap, we presented an integrated sustainable supplier selection model based on regret theory and QUALItative FLEXible multiple criteria method (QUALIFLEX) under a 2-dimensional uncertain linguistic variable (2-DULV) environment. In the proposed model, 2-DULV including the reliability of evaluation information is employed to handle the uncertainty and vagueness of decision-makers judgments. A similarity-based method is used to derive the decision-makers' weight, and a maximizing deviation model is established to calculate the weights of evaluation criteria. Then an improved QUALIFLEX method based on regret theory is presented to obtain the ranking order of sustainable suppliers. The proposed approach integrates both the superiority of 2-DULV in effectively handling the uncertainty, vagueness, and reliability of evaluation information and the merit of regret theory in dealing with decision-maker's bounded rationality. Finally, a numerical example concerning an automobile manufacturer is provided to validate the effectiveness and feasibility of the presented model.

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Decision making application in collaborative emergency response: A new PROMETHEE preference function

Cited by 39 publications

References 51 publications

Research on the Construction of a Natural Hazard Emergency Relief Alliance Based on the Public Participation Degree

Research on the Construction of a Natural Hazard Emergency Relief Alliance Based on the Public Participation Degree

Critical ranking of steam handling unit using integrated cloud model and extended PROMETHEE for maintenance purpose

Sustainable Supplier Selection Based on Regret Theory and QUALIFLEX Method

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