IDEAS home Printed from https://ideas.repec.org/a/ids/ijitma/v23y2024i3-4p244-260.html
   My bibliography  Save this article

Risk assessment method of power grid construction project investment based on grey relational analysis

Author

Listed:
  • Fulei Chen
  • Mingzhu Sun
  • Lei Shen

Abstract

In view of the problems of low accuracy, long time consuming and low efficiency of the existing engineering investment risk assessment method; this paper puts forward the investment risk assessment method of power grid construction project based on grey correlation analysis. Firstly, classify the risks of power grid construction project; secondly, determine the primary index and secondary index of investment risk assessment of power grid construction project; then construct the correlation coefficient matrix of power grid project investment risk to calculate the correlation degree and weight of investment risk index; finally, adopt the grey correlation analysis method to construct investment risk assessment function to realise investment risk assessment. The experimental results show that the average accuracy of evaluating the investment risk of power grid construction projects using the method is 95.08%, and the maximum time consuming is 49 s, which proves that the method has high accuracy, short time consuming and high evaluation efficiency.

Suggested Citation

  • Fulei Chen & Mingzhu Sun & Lei Shen, 2024. "Risk assessment method of power grid construction project investment based on grey relational analysis," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 23(3/4), pages 244-260.
  • Handle: RePEc:ids:ijitma:v:23:y:2024:i:3/4:p:244-260
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=139576
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijitma:v:23:y:2024:i:3/4:p:244-260. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=18 .

    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.