IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i10p1900-d115889.html
   My bibliography  Save this article

Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relation Method and Entropy Weight Method

Author

Listed:
  • Shuyu Dai

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Dongxiao Niu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

As an important implementing body of the national energy strategy, grid enterprises bear the important responsibility of optimizing the allocation of energy resources and serving the economic and social development, and their levels of sustainable development have a direct impact on the national economy and social life. In this paper, the model of fuzzy group ideal point method and combination weighting method with improved group order relation method and entropy weight method is proposed to evaluate the sustainable development of power grid enterprises. Firstly, on the basis of consulting a large amount of literature, the important criteria of the comprehensive evaluation of the sustainable development of power grid enterprises are preliminarily selected. The opinions of the industry experts are consulted and fed back for many rounds through the Delphi method and the evaluation criteria system for sustainable development of power grid enterprises is determined, then doing the consistent and non dimensional processing of the evaluation criteria. After that, based on the basic order relation method, the weights of each expert judgment matrix are synthesized to construct the compound matter elements. By using matter element analysis, the subjective weights of the criteria are obtained. And entropy weight method is used to determine the objective weights of the preprocessed criteria. Then, combining the subjective and objective information with the combination weighting method based on the subjective and objective weighted attribute value consistency, a more comprehensive, reasonable and accurate combination weight is calculated. Finally, based on the traditional TOPSIS method, the triangular fuzzy numbers are introduced to better realize the scientific processing of the data information which is difficult to quantify, and the queuing indication value of each object and the ranking result are obtained. A numerical example is taken to prove that the model of fuzzy group ideal point method and combination weighting method with improved group order relation method and entropy weight method is feasible and effective for evaluating the sustainable development of power grid enterprises.

Suggested Citation

  • Shuyu Dai & Dongxiao Niu, 2017. "Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relati," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1900-:d:115889
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/10/1900/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/10/1900/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jun Zhao & Juliang Jin & Jiezhong Zhu & Jinchao Xu & Qingfeng Hang & Yaqian Chen & Donghao Han, 2016. "Water Resources Risk Assessment Model based on the Subjective and Objective Combination Weighting Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3027-3042, July.
    2. Qingsong Wang & Xueliang Yuan & Jian Zhang & Yun Gao & Jinglan Hong & Jian Zuo & Wei Liu, 2015. "Assessment of the Sustainable Development Capacity with the Entropy Weight Coefficient Method," Sustainability, MDPI, vol. 7(10), pages 1-22, October.
    3. Lin Ding & Zhenfeng Shao & Hanchao Zhang & Cong Xu & Dewen Wu, 2016. "A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method," Sustainability, MDPI, vol. 8(8), pages 1-23, August.
    4. Salih YILDIZ & Emel YILDIZ, 2015. "Service Quality Evaluation of Restaurants Using The Ahp And Topsis Method," Journal of Social and Administrative Sciences, KSP Journals, vol. 2(2), pages 53-61, June.
    5. Xiaomin Xu & Dongxiao Niu & Jinpeng Qiu & Meiqiong Wu & Peng Wang & Wangyue Qian & Xiang Jin, 2016. "Comprehensive Evaluation of Coordination Development for Regional Power Grid and Renewable Energy Power Supply Based on Improved Matter Element Extension and TOPSIS Method for Sustainability," Sustainability, MDPI, vol. 8(2), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peipei You & Sen Guo & Haoran Zhao & Huiru Zhao, 2017. "Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    2. Xiaodong Li & Haibo Kuang & Yan Hu, 2019. "Carbon Mitigation Strategies of Port Selection and Multimodal Transport Operations—A Case Study of Northeast China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    3. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Comprehensive Performance Evaluation of Electricity Grid Corporations Employing a Novel MCDM Model," Sustainability, MDPI, vol. 10(7), pages 1-23, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zifeng Liang & Manli Zhang & Qingduo Mao & Bingxin Yu & Ben Ma, 2018. "Improvement of Eco-Efficiency in China: A Comparison of Mandatory and Hybrid Environmental Policy Instruments," IJERPH, MDPI, vol. 15(7), pages 1-20, July.
    2. Xueping Gao & Lingling Chen & Bowen Sun & Yinzhu Liu, 2017. "Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development," Sustainability, MDPI, vol. 9(8), pages 1-23, August.
    3. Zefang Zhao & Yanlong Guo & Haiyan Wei & Qiao Ran & Wei Gu, 2017. "Predictions of the Potential Geographical Distribution and Quality of a Gynostemma pentaphyllum Base on the Fuzzy Matter Element Model in China," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    4. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    5. Weiwei Li & Pingtao Yi & Danning Zhang, 2018. "Sustainability Evaluation of Cities in Northeastern China Using Dynamic TOPSIS-Entropy Methods," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    6. Wang, Yujie & Chen, Hong & Long, Ruyin & Liu, Bei & Jiang, Shiyan & Yang, Xingxing & Yang, Menghua, 2021. "Evaluating green development level of mineral resource-listed companies: Based on a “dark green” assessment framework," Resources Policy, Elsevier, vol. 71(C).
    7. Yansong Zhang & Yujie Wei & Yu Mao, 2023. "Sustainability Assessment of Regional Water Resources in China Based on DPSIR Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    8. Kuo yi-pin & Chun-Chu Liu, 2020. "Using Stochastic Multi Criteria Decision Making Technology to Evaluate Service Quality of Restaurant," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 10(2), pages 1-4.
    9. Diankai Wang & Inna Gryshova & Anush Balian & Mykola Kyzym & Tetiana Salashenko & Viktoriia Khaustova & Olexandr Davidyuk, 2022. "Assessment of Power System Sustainability and Compromises between the Development Goals," Sustainability, MDPI, vol. 14(4), pages 1-23, February.
    10. Zhenshan Yang, 2019. "Sustainability of Urban Development with Population Decline in Different Policy Scenarios: A Case Study of Northeast China," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    11. Sentao Wu & Xin Deng & Yanbin Qi, 2022. "Factors Driving Coordinated Development of Urban Green Economy: An Empirical Evidence from the Chengdu-Chongqing Economic Circle," IJERPH, MDPI, vol. 19(10), pages 1-20, May.
    12. Adam Pawlewicz & Katarzyna Pawlewicz, 2023. "The Risk of Agricultural Land Abandonment as a Socioeconomic Challenge for the Development of Agriculture in the European Union," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    13. Zhirong Li & Kaiheng Zheng & Qikang Zhong, 2022. "Comprehensive Evaluation and Spatial-Temporal Pattern of Green Development in Hunan Province, China," Sustainability, MDPI, vol. 14(11), pages 1-21, June.
    14. Minjie Li & Jian Wang & Yihui Chen, 2019. "Evaluation and Influencing Factors of Sustainable Development Capability of Agriculture in Countries along the Belt and Road Route," Sustainability, MDPI, vol. 11(7), pages 1-28, April.
    15. Pingtao Yi & Weiwei Li & Lingyu Li, 2018. "Evaluation and Prediction of City Sustainability Using MCDM and Stochastic Simulation Methods," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    16. Zhenhua Wu & Shaogang Lei & Bao-Jie He & Zhengfu Bian & Yinghong Wang & Qingqing Lu & Shangui Peng & Linghua Duo, 2019. "Assessment of Landscape Ecological Health: A Case Study of a Mining City in a Semi-Arid Steppe," IJERPH, MDPI, vol. 16(5), pages 1-21, March.
    17. Haixiang Zang & Mian Guo & Zeyu Qian & Zhinong Wei & Guoqiang Sun, 2016. "A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems," Sustainability, MDPI, vol. 8(12), pages 1-9, December.
    18. Zakariya Kaneesamkandi & Ateekh Ur Rehman & Yusuf Siraj Usmani & Usama Umer, 2020. "Methodology for Assessment of Alternative Waste Treatment Strategies Using Entropy Weights," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    19. Aleksandra Bączkiewicz & Bartłomiej Kizielewicz & Andrii Shekhovtsov & Mykhailo Yelmikheiev & Volodymyr Kozlov & Wojciech Sałabun, 2021. "Comparative Analysis of Solar Panels with Determination of Local Significance Levels of Criteria Using the MCDM Methods Resistant to the Rank Reversal Phenomenon," Energies, MDPI, vol. 14(18), pages 1-21, September.
    20. Sipan Li & Qunxi Gong & Shaolei Yang, 2019. "A Sustainable, Regional Agricultural Development Measurement System Based on Dissipative Structure Theory and the Entropy Weight Method: A Case Study in Chengdu, China," Sustainability, MDPI, vol. 11(19), pages 1-15, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1900-:d:115889. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.