Optimal site selection of straw biomass power plant under 2-dimension uncertain linguistic environment

Wu, Yunna; Sun, Xiaokun; Lü, Zhiming; Zhou, Jianli; Xu, Chuanbo

doi:10.1016/j.jclepro.2018.12.091

Cited by 30 publications

(8 citation statements)

References 48 publications

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“…In the future, the present work should be improved from the following aspect: (1) Explore the application of the proposed method in practical decision-making scenarios, such as optimal site selection [37], and evaluation of service quality [34]. (2) Develop scientific ways to derive weights of experts, such as the method based on similarity [1,11].…”

Section: Discussionmentioning

confidence: 99%

A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems

Лю

Wang

2021

Complex Intell. Syst.

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The 2-dimensional uncertain linguistic variable (2DULV) can depict decision-makers’ subjective assessments on the reliability of given evaluation results, which is a valid and practical tool to express decision information. In this study, we develop an improved MABAC method with 2DULVs to handle multiattribute group decision-making (MAGDM) problems where the weight information of attributes is unknown. First, some related theories of 2DULVs and the basic procedure of the MABAC method are briefly reviewed. Then, the maximum comprehensive evaluation value method is extended to 2DULVs to obtain combination weights of attributes, in which the subjective weights are determined according to the best–worst method (BWM) and the objective weights are calculated by the maximum deviation method. Besides, the generalized weighted average operator for 2DULVs (2DULGWA) is utilized to aggregate the evaluation information given by all experts. Finally, an improved MABAC for 2DULVs (2DUL-MABAC) is proposed, and an example is carried out to explain the validity of the proposed approach.

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Section: Discussionmentioning

confidence: 99%

A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems

Лю

Wang

2021

Complex Intell. Syst.

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“…Then the CDI j (S , S ) can be calculated by Eq. (18). Take the permutation P 1 as an example, the results of CDI for P 1 are shown in Table 8.…”

Section: Implementation Of the Presented Modelmentioning

confidence: 99%

“…2-DULV has been used for various fields under uncertain environment owing to its apparent advantage. For instance, failure mode and effect analysis [17], site selection of power plant [18], and emergency management [19]. Therefore, 2-DULV is utilized to represent the evaluation information of decision-makers in this paper.…”

Section: Introductionmentioning

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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“…Two‐dimensional uncertain linguistic variables (2DULVs) were proposed to address decision‐making problems with uncertain linguistic information (Liu, 2012). With 2DULVs, two classes of linguistic variables can be used to give opinions (Wu, Sun, Lu, Zhou, & Xu, 2019). Class I linguistic variables represent the evaluation results, and class II linguistic variables represent the reliability of the given results.…”

Section: Introductionmentioning

confidence: 99%

A hybrid MCDM model combining DANP with TODIM to evaluate the information quality of community question answering in a two‐dimensional linguistic environment

Peng

et al. 2020

Expert Systems

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Evaluating the information quality of cQA (community question‐answering) websites helps users select a cQA website with high‐quality information and improves the information quality. In this paper, an approach to evaluating the information quality of cQA based on a novel hybrid multicriteria decision‐making (MCDM) model is proposed. First, the source, content, expression and usefulness criteria for evaluating the information quality of the cQA are established. Then, considering the ambiguity and inner correlations of the criteria, DANP ([DEMATEL]‐based Analytic Network Process) and TODIM (interactive and multiple attribute decision making, in Portuguese) methods are combined in a two‐dimensional linguistic environment to process linguistic evaluation information. Lastly, the proposed approach is applied to evaluate the quality of five popular cQA websites. The key criteria are identified, and the evaluation results are derived comprehensively. The key factors consist of reputation, coverage, politeness, usability, helpfulness, clarity, readability and conciseness. The websites, Know almost and Baidu knows, perform better in terms of information quality. The application, along with the sensitivity analysis and comparative analysis, shows the effectiveness of the proposed model. The proposed approach has both practical and research implications. It provides an approach for users to choose websites, and, for operators, to improve the information quality of their website. The evaluation criteria and their relations provide a reference for research on the information quality. The evaluation method considers the user's psychological information to provide a more accurate MCDM approach. The comprehensive aspects of the experiment can be used to verify the other MCDM methods.

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Optimal site selection of straw biomass power plant under 2-dimension uncertain linguistic environment

Cited by 30 publications

References 48 publications

A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems

A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems

Sustainable Supplier Selection Based on Regret Theory and QUALIFLEX Method

A hybrid MCDM model combining DANP with TODIM to evaluate the information quality of community question answering in a two‐dimensional linguistic environment

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