Multiple Group Decision Making for Selecting Emergency Alternatives: A Novel Method Based on the LDWPA Operator and LD-MABAC

Liang, Xia; Teng, Fei; Sun, Yan

doi:10.3390/ijerph17082945

Cited by 20 publications

(11 citation statements)

References 37 publications

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“…), then we cannot distinguish two LDs if they have the same expectation. Definition 4 (see [49]). Let L 1 and L 2 be two LDs; the distance between L 1 and L 2 is defined as follows:…”

Section: Examplementioning

confidence: 99%

A Method of Product Selection Based on Online Reviews

Liang

Guo

Sun

et al. 2021

Mobile Information Systems

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With the rapid development of information technology and market economy, global e-commerce platform develops rapidly. Recently, online reviews are widely available on e-commerce platforms to express customers’ experience of products. When ranking alternative products based on online reviews, how to make full use of the information in online reviews to represent the sentiment analysis results of online reviews is an important prerequisite for decision analysis. To this end, we propose a method for measuring the time utility and support utility of online reviews. Then a method for representing the sentiment analysis results of online reviews in the form of linguistic distribution is proposed. In addition, in view of the attributes and their weights being unknown, we propose a method for extracting product attributes from online reviews by using the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm; and the objective weights of attributes are determined through the Criteria Importance through Intercriteria Correlation (CRITIC) method. Additionally, in order to highlight the differences between the alternatives, the roulette wheel selection algorithm is first used to randomly select product attributes. Then the alternative products can be ranked by the extended Multi-Attributive Border Approximation area Comparison (MABAC) method with mixed information. Finally, we illustrate the applicability of the proposed method through a case study of selecting a 5G mobile phone and simulation experiment.

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“…), then we cannot distinguish two LDs if they have the same expectation. Definition 4 (see [49]). Let L 1 and L 2 be two LDs; the distance between L 1 and L 2 is defined as follows:…”

Section: Examplementioning

confidence: 99%

A Method of Product Selection Based on Online Reviews

Liang

Guo

Sun

et al. 2021

Mobile Information Systems

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“…To manage emergency alternative selection under group DMs, a method based on entropy weight and intuitionistic fuzzy DEMATEL was developed by Chen et al [ 4 ]. Liang et al [ 25 ] combined the linguistic distribution weighted power average operator and linguistic distribution multi-attributive border approximation area comparison method to solve the emergency alternative selection problem. Aiming at describing DMs’ psychological characteristics in emergency events, Liu et al [ 36 ] extended the trapezoidal intuitionistic fuzzy thermodynamic method with prospect theory to appraise emergency alternatives.…”

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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“…Then, Pareto optimization can be carried out to generate the Pareto solutions to serve as hazardous materials transportation plans. In practical decision making, multiple group decision making [51,52] is an effective method to help the multimodal operator and the customers to accurately select a Pareto solution that most fit a given decision making situation.…”

Section: (30)mentioning

confidence: 99%

A Fuzzy Multi-Objective Routing Model for Managing Hazardous Materials Door-to-Door Transportation in the Road-Rail Multimodal Network With Uncertain Demand and Improved Service Level

Sun

2020

IEEE Access

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A routing optimization with risk control and reduction provides a quantitative support for an efficient organization of the hazardous materials transportation where road-rail multimodal transportation plays an important role. Oriented on the viewpoint of the multimodal operator, this study investigates a hazardous materials routing problem for their door-to-door transportation through a road-rail multimodal hub-and-spoke network. It is difficult to determine the exact demand of hazardous materials for each transportation order during the advanced routing decision making. Therefore, demand uncertainty is introduced into the problem, in which the uncertain demands are modeled by triangular fuzzy numbers. To enhance the quality of service of the transportation, the hazardous materials routing optimization in this study uses fuzzy soft time windows to optimize the last-mile delivery of hazardous materials that determines the timeliness of transportation. Accordingly, this study proposes a fuzzy multi-objective routing model that is linear and considers the constraints of the customers' preferred service levels. To solve the proposed model, its crisp reformulation is first achieved by using the fuzzy expected value method and Jimenez's fuzzy ranking method. Then, the ε-constraint method is adopted by this study to obtain the Pareto frontier for the multiobjective optimization problem. Finally, an experimental case study is carried out to verify the proposed modeling of this study. By using sensitivity analysis and fuzzy simulation, the conflicting relationship among the economic, risk, reliability and timeliness objectives that improving one objective worsens the others is clearly indicated, and the insights that helps decision makers to make effective tradeoffs among these objectives to get a most suitable hazardous materials road-rail multimodal transportation plan are also summarized.

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Multiple Group Decision Making for Selecting Emergency Alternatives: A Novel Method Based on the LDWPA Operator and LD-MABAC

Cited by 20 publications

References 37 publications

A Method of Product Selection Based on Online Reviews

A Method of Product Selection Based on Online Reviews

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

A Fuzzy Multi-Objective Routing Model for Managing Hazardous Materials Door-to-Door Transportation in the Road-Rail Multimodal Network With Uncertain Demand and Improved Service Level

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