Stochastic multiple‐criteria decision making with 2‐tuple aspirations: a method based on disappointment stochastic dominance

Liang, Xia; Jiang, Yan-Ping; Лю, Пэйдэ

doi:10.1111/itor.12430

Cited by 14 publications

(8 citation statements)

References 41 publications

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“…Based on the collected data, a sensitivity analysis was illustrated the required number of simulations for the required accuracy and performed an assessment of the results based on weighting of the respondents' perceived expertise. Liang et al [27] presented a new method based on disappointment SD with respect to the SMCDM problem with criterion 2-tuple aspirations. The overall disappointment SD each alternative degree over the aspiration alternative is calculated to determine the ranking result.…”

Section: Stochastic Dominance-based Methods and Applicationsmentioning

confidence: 99%

Stochastic multi-criteria decision-making: an overview to methods and applications

Çelik

Gül

Yücesan

et al. 2019

Beni-Suef Univ J Basic Appl Sci

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Background: The alternatives selection problem with multi-criteria in stochastic form variables is called as stochastic multi-criteria decision-making. The stochasticity of the criteria is considered using stochastic dominance, prospect theory, and regret theory.Main text: In this paper, a total 61 papers are reviewed and analyzed based on method(s) used in stochastic multicriteria decision-making problem, method used in stochasticity, specific objective, application area, and so on classification. All papers with respect to classification aspects are examined their real or empirical applications. Moreover, the studies are statistically investigated to present the latest trends of stochastic multi-criteria decision-making.Conclusions: This detailed review study ensures a comprehension for researchers on stochastic multi-criteria decisionmaking in respect of showing up-to-date literature and potential research areas to be concentrated in the future. It is observed that the stochastic multi-criteria decision-making problem has an attractive approach by researchers.

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Section: Stochastic Dominance-based Methods and Applicationsmentioning

confidence: 99%

Stochastic multi-criteria decision-making: an overview to methods and applications

Çelik

Gül

Yücesan

et al. 2019

Beni-Suef Univ J Basic Appl Sci

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“…For example, if the Pareto solution corresponding to weight combination (0.35, 0.65) is selected, the corresponding best road-rail multimodal routes for the hazardous materials transportation are illustrated in Table 8. In practice, decision makers can adopt multiple criteria decision-making methods to select the most suitable Pareto solution in a more precise way [73,74]. Table 8.…”

Section: Computation Environmentmentioning

confidence: 99%

A Bi-Objective Fuzzy Credibilistic Chance-Constrained Programming Approach for the Hazardous Materials Road-Rail Multimodal Routing Problem under Uncertainty and Sustainability

Sun

Li²,

Liang

et al. 2019

Sustainability

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Hazardous materials transportation involves extensive risk and cannot be avoided in practice. An advanced routing, however, can help to reduce the risk by planning the best transportation routes for hazardous materials that can make effective tradeoffs between the risk objective and the economic objective. In this study, we explore the hazardous materials routing problem in the road-rail multimodal transportation network with a hub-and-spoke structure, in which the risk is measured by the multiplication of population exposure and the associated volume of hazardous materials, and minimizing the total risk of all the transportation orders of hazardous materials is set as the risk objective. It is difficult to estimate the population exposure exactly during the routing decision-making process, which results in its uncertainty. In this study, we formulate the uncertain population exposure from a fuzzy programming perspective by using triangular fuzzy numbers. Moreover, the carbon dioxide emission constraint is formulated to realize the sustainable transportation of hazardous materials. To optimize the problem under the above framework, we first establish a bi-objective fuzzy mixed integer nonlinear programming model, and then develop a three-stage exact solution strategy that the combines fuzzy credibilistic chance constraint, linearization technique, and the normalized weighting method. Finally, a computational experiment is carried out to verify the feasibility of the proposed method in dealing with the problem. The experimental results indicate that tradeoffs between the two conflicting objectives can be effectively made by using the Pareto frontier to the hazardous materials routing problem. Furthermore, the credibility level and carbon dioxide emission cap significantly influence the hazardous materials routing optimization. Their effects on the optimization result are quantified by using sensitivity analysis, which can draw some useful insights to help decision makers to better organize the hazardous materials road-rail multimodal transportation under uncertainty and sustainability.

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“…The fuzzy evaluations, stochastic evaluations (Liang, Jiang, & Liu, 2018;Sun, Hrušovský, Zhang, & Lang, 2018) and probability linguistic evaluations are useful uncertainty evalua-tions in practical decision making (Ji, Zhang, & Wang, 2018;Luo, Zhang, Wang, & Li, 2019). As a useful format of uncertain evaluation, linguistic evaluations can represent qualitative information more accurate.…”

Section: The Distribution Linguistic Evaluationmentioning

confidence: 99%

Hotel Selection Utilizing Online Reviews: A Novel Decision Support Model Based on Sentiment Analysis and Dl-Vikor Method

Liang

Лю

Wang

2019

Technological and Economic Development of Economy

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With the considerable development of tourism market, as well as the expansion of the e-commerce platform scale, increasing tourists often prefer to select tourism products such as services or hotels online. Thus, it needs to provide an efficient decision support model for tourists to select tourism products. Online reviews based on the user experience would help tourists improve decision efficiency on tourism products. Therefore, in this study, a quantitative method for hotel selection with online reviews is proposed. First, with respect this problem with online reviews, by analyzing sentiment words in online reviews, tourists’ sentiment preferences are transformed into the format of distribution linguistic with respect to sentiment levels. Second, from a theoretical perspective, we proposed a method to determine the ideal solution and nadir solution for distribution linguistic evaluations. Next, based on the frequency of words for evaluating hotel and the distribution linguistic evaluations, the weight vector of the evaluation features is determined. Further, a novel DL-VIKOR method is developed to rank and then to select hotels. Finally, a realistic case from TripAdvisor.com for selecting hotel is used to demonstrate practically and feasibility of the proposed model.

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Stochastic multiple‐criteria decision making with 2‐tuple aspirations: a method based on disappointment stochastic dominance

Cited by 14 publications

References 41 publications

Stochastic multi-criteria decision-making: an overview to methods and applications

Stochastic multi-criteria decision-making: an overview to methods and applications

A Bi-Objective Fuzzy Credibilistic Chance-Constrained Programming Approach for the Hazardous Materials Road-Rail Multimodal Routing Problem under Uncertainty and Sustainability

Hotel Selection Utilizing Online Reviews: A Novel Decision Support Model Based on Sentiment Analysis and Dl-Vikor Method

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