A Regret Theory-Based Decision-Making Method for Urban Rail Transit in Emergency Response of Rainstorm Disaster

Wang, Yuning; Liang, Yingzi; Hui, Siu Cheung

doi:10.1155/2020/3235429

Cited by 12 publications

(11 citation statements)

References 52 publications

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“…If θ < 0.5, the decisionmaker's risk preference is passive and pessimistic. Also, when θ � 0.5, it is neutral, and equation ( 9) can be simplified as equation (8). Since the satisfaction index has advantages on objectively describing the decision-maker's expected satisfactory degree of psychological reference, it has been widely used in the research of multiattribute decision-making problems.…”

Section: Dynamic Adjustment Methods Based On the Satisfaction Information Updatingmentioning

confidence: 99%

“…Taking the EDM as a problem of risk analysis, Liu et al and Wang et al presented an EDM approach considering the DMs' decision behaviors based on prospect theory [6,7]. Wang et al focused on regret theory, which means that the DMs tend to generate an expected regret for decision based on past experiences and established a decision-making method for emergency response of rainstorm disaster [8]. Xu et al considered DMs' trust relations and preference risks and developed consensus-based EDM approach [9].…”

Section: Introductionmentioning

confidence: 99%

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A Multistage Dynamic Emergency Decision-Making Method considering the Satisfaction under Uncertainty Information

Liu

2021

Journal of Advanced Transportation

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Emergency decision-making (EDM) is of paramount importance, especially when the emergency occurs. The evolution nature of the emergency, such as multistage, uncertainty, dynamic, and information updating, has been playing a key role in the dynamic emergency decision-making process. However, most existing studies ignored the aforementioned nature. Our approach accounts for the dynamics inherent to a real emergency decision-making process and presents a multistage dynamic emergency decision-making (MSDEDM) procedure of a dynamic programming model based on decision-makers’ psychological reference satisfactory degree. Firstly, interval-valued trapezoidal intuitionistic fuzzy numbers (IVTrIFNs) are used to depict the relevant fuzziness and uncertainty of information. Secondly, by considering the dynamic evolution process of emergency and the decision-makers’ psychological reference expectation effect, the principle of MSDEDM approach is presented. Based on the analysis, the dynamic model on the new psychological reference satisfactory parameter formula is presented to obtain the optimal satisfaction and weight of each stage. Then, the value utility function based on the DMs’ risk attitude is proposed to obtain the comprehensive value of each emergency alternative for each stage and achieve the ranking results of each stage. Furthermore, a case study involving the transportation emergency decision-making problem demonstrates that the proposed method can achieve selection of the optimal alternatives for each stage, as well as adjustment of the alternatives for neighbouring stages. Finally, the comparative analysis and sensitivity analysis for the results are used to further verify the feasibility and practicability of the proposed method.

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Section: Dynamic Adjustment Methods Based On the Satisfaction Information Updatingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multistage Dynamic Emergency Decision-Making Method considering the Satisfaction under Uncertainty Information

Liu

2021

Journal of Advanced Transportation

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“…Recently, several researchers proposed regret theory-based methods to solve decision-making problems. For example, the authors in [24] proposed a regret theory-based decision-making method in order to solve problems of urban transportation systems stressed by rainstorms in Tianjin; this method could improve the reliability and risk-response capability of local public transportation service.…”

Section: Overview Of Regret and Rejoice In Mcdmmentioning

confidence: 99%

Multi-Attribute Selection Procedures Based on Regret and Rejoice for the Decision-Maker

Mengash¹,

Ayadi²

2022

Computers, Materials &Amp; Continua

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Feelings influence human beings' decision-making; therefore, incorporation of feeling factors in decision-making is very important. Regret and rejoice are very important emotional feelings that can have a great impact on decision-making if they are considered together. While regret has received most of the attention in related research, rejoice has been less considered even though it can greatly influence people's preferences in decision-making. Furthermore, systematically incorporating regret and rejoice in the multicriteria decision-making (MCDM) modeling frameworks for decision-making has received little research attention. In this paper, we introduce a new multiattribute selection procedure that incorporates both regret and rejoice to select the best choice. We utilize the positional advantage operator concept to develop regret and rejoice mathematical equations, and prove them. The proposed MCDM procedure that incorporates these two emotional factors offers a decision-maker the flexibility to trade off some benefits in order to gain a state of psychological satisfaction. More specifically, regret and rejoice are presented mathematically to enable the decision-maker to determine the values of regret and rejoice, and then make the decision in which the rejoice value is higher than the regret value. To test the performance of this new procedure, we apply it to three numerical examples proposed in previous works. The results are matched with those obtained by other methods such as the regret model, VIKOR, PROMETHEE I, and PROMETHEE II, thereby proving the efficacy of the new procedure.

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“…For a mine EDM problem, Liang et al [ 26 ] proposed a multi-granularity proportional hesitant fuzzy linguistic TODIM method. Wang et al [ 61 ] suggested a regret theory-based EDM model for the emergency response to different rainstorm disaster scenarios. Thereafter, Wang and Day [ 62 ] applied the AHP method to explore the selection and prioritization of major decision making factors for typhoon disaster preparedness and emergency response.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, because of the lack of decision information and the uncertainty and complexity of emergencies, it is difficult to cope with emergencies through conventional response measures [ 71 ]. Consequently, the emergency decision making (EDM) problem has recently attracted increasing attention from scholars and governments [ 2 , 9 , 13 , 22 , 25 , 61 , 65 ]. Multiple criteria decision making (MCDM) techniques, which support decision makers (DMs) in choosing the best option from several alternatives based on multiple and often conflicting criteria, are considered effective means to determine the best solution in EDM problems [ 4 , 8 , 36 , 52 ].…”

Section: Introductionmentioning

confidence: 99%

A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment

Chai

Duan

et al. 2021

Int. J. Mach. Learn. & Cyber.

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Emergencies require various emergency departments to collaborate to achieve timely and effective emergency responses. Thus, the overall performance of emergency response is influenced not only by the efficiency of each department alternative but also by the coordination effect among different department alternatives. This paper proposes a collaborative emergency decision making (CEDM) approach considering the synergy among different department alternatives based on the best–worst method (BWM) and TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) method within an interval 2-tuple linguistic environment. First, the evaluation information provided by decision makers (DMs) is represented by interval 2-tuple linguistic variables to reflect and model the underlying diversity and uncertainty. On the basis of the DMs’ evaluations, the individual and collaborative performance evaluations of multi-alternative combinations composed of different department alternatives are constructed. Then, the BWM is extended into interval 2-tuple linguistic environment to obtain the weights of evaluation criteria, where the group decision making is taken into account in an interval fuzzy mathematical programming model. Furthermore, to derive more practical and accurate decision results, an interval 2-tuple linguistic TODIM (ITL-TODIM) method is proposed by considering the DMs’ psychological behaviours. In the developed ITL-TODIM method, both the gain and loss degrees of one alternative relative to another are simultaneously computed. Finally, a numerical example is presented to illustrate the applicability of the proposed method. Sensitivity and comparative analyses are also provided to demonstrate the effectiveness and advantages of the proposed approach.

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A Regret Theory-Based Decision-Making Method for Urban Rail Transit in Emergency Response of Rainstorm Disaster

Cited by 12 publications

References 52 publications

A Multistage Dynamic Emergency Decision-Making Method considering the Satisfaction under Uncertainty Information

A Multistage Dynamic Emergency Decision-Making Method considering the Satisfaction under Uncertainty Information

Multi-Attribute Selection Procedures Based on Regret and Rejoice for the Decision-Maker

A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment

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