Probabilistic hesitant fuzzy TOPSIS emergency decision-making method based on the cumulative prospect theory

Sha, Xiuyan; Yin, Chuancun; Zhang, Xu; Zhang, Shen

doi:10.3233/jifs-201119

Cited by 32 publications

(14 citation statements)

References 23 publications

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“…[2], a spherical fuzzy emergency decision support model was suggested by integrating GRA and TOPSIS methods. Besides, the Z-uncertain probabilistic linguistic TOPSIS [6], the intuitionistic fuzzy TOPSIS [7], the Pythagorean fuzzy TOPSIS [72], and the Probabilistic hesitant fuzzy TOPSIS [44] were proposed for emergency alternative evaluation in recent years.…”

Section: Edm Methods Used In the Literaturementioning

confidence: 99%

Decades on emergency decision-making: a bibliometric analysis and literature review

Hou

Mao

Liu

et al. 2021

Complex Intell. Syst.

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When an emergency occurs, effective decisions should be made in a limited time to reduce the casualties and economic losses as much as possible. In the past decades, emergency decision-making (EDM) has become a research hotspot and a lot of studies have been conducted for better managing emergency events under tight time constraint. However, there is a lack of a comprehensive bibliometric analysis of the literature on this topic. The objective of this paper is to provide academic community with a complete bibliometric analysis of the EDM researches to generate a global picture of developments, focus areas, and trends in the field. A total of 303 journal publications published between 2010 and 2020 were identified and analyzed using the VOSviewer in regard to cooperation network, co-citation network, and keyword co-occurrence network. The findings indicate that the annual publications in this research field have increased rapidly since 2014. Based on the cooperation network and co-citation network analyses, the most productive and influential countries, institutions, researchers, and their cooperation networks were identified. Using the co-citation network analysis, the landmark articles and the core journals in the EDM area are found out. With the help of the keyword co-occurrence network analysis, research hotspots and development of the EDM domain are determined. According to current trends and blind spots in the literature, possible directions for further investigation are finally suggested for EDM. The literature review results provide valuable information and new insights for both scholars and practitioners to grasp the current situation, hotspots and future research agenda of the EDM field.

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Section: Edm Methods Used In the Literaturementioning

confidence: 99%

Decades on emergency decision-making: a bibliometric analysis and literature review

Hou

Mao

Liu

et al. 2021

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…One of the significant characters of the emergency response is timeliness, which means that the rescue teams are asked for taking effective actions during a short time [ 5 , 6 ]. In the process of dealing with an emergency event, inadequate decision information and tight time pressure make it difficult for decision makers to make a reasonable and efficient choice under an unpredictable decision environment [ 7 , 8 ]. Consequently, it is of great significance to develop systematic and reliable EDM methods for determining the optimal response to an emergency event to minimize economic losses and casualties [ 1 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic environment

et al. 2022

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With the frequent occurrence of various emergency events, emergency decision making (EDM) has become an important research focus recently and many studies have been conducted to decrease the negative impact of emergencies. Normally, it is essential for decision makers to make satisfactory and reasonable emergency decisions in the shortest possible time as inappropriate decisions may result in enormous economic losses and serious social consequences. To ensure that an emergency response can be made efficiently, we propose a new EDM method by integrating regret theory and evaluation based on distance from average solution (EDAS) method within the 2-tuple spherical linguistic environment. First, the 2-tuple spherical linguistic term sets (TSLTSs) are employed by decision makers to express their uncertain and vague evaluation information on emergency alternatives. Then, an integrated EDM method based on regret theory and EDAS method is proposed to rank emergency alternatives and find out the optimal one. Besides, the criteria importance through inter-criteria correlation (CRITIC) method is used to determine criteria weights objectively in the EDM process. Finally, the proposed regret theory-EDAS method is applied to select the optimal response solution for a public health emergency in China. The superiority and practicality of the designed method are further justified through a comparative analysis with other EDM methods.

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“…Ho et al 28 utilized the TOPSIS method to IVPFSs and applied it in the decision making of stroke rehabilitation treatment plans. Sha et al 29 and Wang et al 30 also adopted the TOPSIS method in EDM to make a choice. Therefore, we can use the TOPSIS method to produce more reasonable decision‐making results in EDM.…”

Section: Introductionmentioning

confidence: 99%

Interval‐valued Pythagorean fuzzy linguistic KPCA model based on TOPSIS and its application for emergency group decision making

Zeng

Zhou

et al. 2022

Int J of Intelligent Sys

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This paper investigates the emergency group decision‐making problem based on interval‐valued Pythagorean fuzzy language sets (IVPFLSs). The frequent occurrence of emergency events can bring huge economic damage to human beings. To reduce the loss, it is very important to make reasonable emergency decisions effectively and timely. In the emergency decision making (EDM), these problems are few studied, such as high dimension problem, data nonlinearity, and correlation. For EDM problems, the advantage of IVPFLSs is that it can reasonably express the evaluation information given by decision makers (DMs) through both qualitative and quantitative aspects. However, if the dimension and nonlinear relationship of the decision data keep growing, and the traditional decision‐making methods will fail. The distance measure between decision data is necessary to calculate in the process of dimensionality reduction, and the current research does not propose the definition of IVPFLSs distance measure. On the basis of this, this paper first uses the attributes and DMs as variables to define the standard Euclidean distance measure between IVPFLSs. For nonlinear features, we construct the interval‐valued Pythagorean fuzzy language kernel principal component analysis (IVPFL‐KPCA) model to reduce the dimensionality. What is more, we also obtain the reasonable weight vectors of the attribute and DMs from cumulative contribution rate. For low‐dimensional decision data, according to the technique for order performance by similarity to ideal solution method, the best emergency plan is selected for the information variables after dimensionality reduction. In sum, the IVPFL‐KPCA model not only avoids multicollinearity and nonlinear separability between decision data, but also obtains reasonable weights. It further improves the efficiency of decision‐making operations and reduces the difficulty of the algorithm. Finally, an example of earthquake emergency plan is shown to demonstrate the feasibility and practicability of the proposed method. Besides, we also compare it with the existing methods, which proves the effectiveness of the method.

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Probabilistic hesitant fuzzy TOPSIS emergency decision-making method based on the cumulative prospect theory

Cited by 32 publications

References 23 publications

Decades on emergency decision-making: a bibliometric analysis and literature review

Decades on emergency decision-making: a bibliometric analysis and literature review

New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic environment

Interval‐valued Pythagorean fuzzy linguistic KPCA model based on TOPSIS and its application for emergency group decision making

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