Picture fuzzy multi-criteria group decision-making method to hotel building energy efficiency retrofit project selection

Le, Wang; Zhang, Hongyu; Wang, Jianqiang; Wu, Guofang

doi:10.1051/ro/2019004

Cited by 58 publications

(24 citation statements)

References 58 publications

(70 reference statements)

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“…PFSs can describe the DMs' preference accurately, which can avoid missing information and make the evaluation information more feasible than IFSs. Recent research on PFSs has focused on its extensions and MCDM methods, and has applied them to solve various decision-making and clustering analysis problems (Wei, 2016(Wei, , 2018Wang et al, 2018Wang et al, , 2019aWang et al, , 2019bWang et al, , 2020Wei & Gao, 2018;Tian et al, 2019Zhang et al 2018Zhang et al , 2019aZhang et al , 2019b.…”

Section: Pfssmentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

Peng

Tian

Zhang

et al. 2020

Technological and Economic Development of Economy

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Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis.

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Section: Pfssmentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

Peng

Tian

Zhang

et al. 2020

Technological and Economic Development of Economy

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“…Although these innovative studies have made great contribution to NPP site selection, there are still some improvements. In view of the existing studies, most methods for location problems are evaluated by crisp/fuzzy and partially reliable information, it is usually given in the light of experts' experience [8,9]. However, the fact is that some experts may not provide objective and accurate evaluation values because of the limitations of their cognition.…”

Section: Methods For Npp Site Selectionmentioning

confidence: 99%

“…Using Equation (13), the sum of rows and columns is expressed as vector R and vector C, respectively. After that, the fuzzy ordered pairs (R + C, R − C) are obtained, and the expected values of E(R + C) and E(R − C) are calculated using Equation (9).…”

Section: Constraint Reliability Linguistic Terms Fuzzy Numbers Linguimentioning

confidence: 99%

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A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

Peng

Wang

et al. 2020

Mathematics

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To promote the development of nuclear power project in inland China, a specialized multi-criteria decision support framework is constructed for the site selection of inland nuclear power plants in this work. The best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and technique for order performance by similarity to ideal solution (TOPSIS) are integrated with Z-numbers, namely Z-BWM, Z-DEMATEL, and Z-TOPSIS. Z-BWM and Z-DEMATEL are combined to produce the weights of criteria, and an extended Z-TOPSIS is utilized to determine the ranking of all alternatives. Finally, a case study is performed in Hunan province to demonstrate the practicability of the proposed decision support framework. The robustness and feasibility of the proposed method are shown by an in-depth analysis of the decision results.that are not prone to tsunamis or typhoons. China has a total of 48 nuclear power units in operation, but they are all in coastal areas. The specific research on the site selection of China's inland NPPs is still insufficient. In this work, a multi-criteria decision support framework is provided to identify the best site for inland NPPs in China, and the contributions are summarized as follows:(1) The existing researches on multi-criteria decision-making (MCDM) problems inevitably involve the uncertainly and unreliability of human preferences. Therefore, Z-number is introduced into the proposed MCDM framework in this work, and all evaluation information is given using Z-number linguistic variables.(2) Best worst method (BWM) and decision-making trial and evaluation laboratory (DEMATEL) are extended to Z-numbers, i.e., Z-BWM and Z-DEMATEL. The hybrid model not only considers the impact of the criterion relations on the criterion weights, but also provides a long-term improvement for inland NPP site selection.(3) The technique for order performance by similarity to ideal solution (TOPSIS) is combined with Z-numbers, namely Z-TOPSIS. It can effectively reduce the influence of outliers, and provide more reliable ranking results than the classic TOPSIS.(4) Currently, few researches focus on the site selection of China's inland NPPs. Based on the reactor siting criteria developed by IAEA, a specialized evaluation system considering the eco-environment, geographic features, and socio-economic factors in China's interior is constructed.The structure of the paper is organized as follows. Section 2 reviews some studies related to NPP site selection. Section 3 introduces some basic concepts of Z-numbers. Section 4 presents the proposed framework for inland NPP site selection. Section 5 provides a case study in Hunan province of China. Section 6 conducts an in-depth analysis concerning selection results. Finally, Section 7 draws conclusions.

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“…A deal of subjective weights determining methods has conducted by many scholars. For example, AHP method was employed to derive the criteria weights in the case of tourism environmental impact assessment [35], What's more, Wang, Zhang [45] used multi-criteria group decision-making method to hotel building energy efficiency retrofit project selection. However, all of these subjective weights determining methods have lots of complexity and inconvenience.…”

Section: Determining the Subjective Weights Of Tmsmentioning

confidence: 99%

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Song

Wang

2020

Mathematics

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Quality function deployment (QFD) is a useful design quality control tool in service enterprises and manufacturing enterprises. However, there are several issues in extant QFD frameworks, that is, in three aspects: description of evaluation information, weight determination of expert team members (TMs), and weight identification of customer requirements (CRs). In order to address these issues, a novel QFD framework is first proposed utilizing linguistic Z-numbers (LZNs) with integrated subjective and objective weights of TMs and CRs. The LZNs can represent uncertain information and the reliability of information in a specific way while the fuzzy numbers cannot. Moreover, the order relation analysis (G1) method and improved maximum consensus (MC) method are developed to get the subjective and objective weights of TMs, respectively. Further, the step-wise weight assessment ratio analysis (SWARA) method and statistical distance (SD) method are studied to acquire combined weights of CRs. Next, the proposed QFD framework is applied to a case of logistics service provider, which illustrates the availability and utility of the framework. Then, a sensitivity analysis is conducted to prove the reliability of the framework. Finally, two comparative analyses are performed to declare the advantages of the framework. Results indicate the proposed QFD framework is better than existing models.

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Picture fuzzy multi-criteria group decision-making method to hotel building energy efficiency retrofit project selection

Cited by 58 publications

References 58 publications

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

An Integrated Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection Under Picture Fuzzy Environment

A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

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