IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3240483.html
   My bibliography  Save this article

Grey Multiattribute Emergency Decision-Making Method for Public Health Emergencies Based on Cumulative Prospect Theory

Author

Listed:
  • Hanyi Wang
  • Rahib Abiyev

Abstract

In view of the different risk preferences of decision-makers and the information gap in the timing of the subjects under evaluation, a multiattribute dynamic decision-making model that considers decision risk in addition to the priority of time is proposed. First, to account for the uncertainty of the evaluation information, the interval grey number method was applied to perform numerical abstraction and key data feature extraction on the scene of public health emergencies and to obtain the information after attributes were unified. Second, acknowledging the bounded rational behavior of actual decision-makers, the decision-makers’ risk preference was introduced into emergency decision-making. In combination with the time degree, the multiattribute unified decision matrix was transformed into an expected dynamic cumulative prospect decision matrix. Furthermore, based on cumulative prospect theory (CPT), the prospect value function and the weight function are constructed; a new optimization model is proposed to obtain the attribute weight. And according to the comprehensive prospect value of each alternative, the priority of the alternatives was determined. Finally, with the COVID-19 epidemic serving as an example, the results confirm that the emergency decision-making method proposed in this paper is feasible and effective.

Suggested Citation

  • Hanyi Wang & Rahib Abiyev, 2022. "Grey Multiattribute Emergency Decision-Making Method for Public Health Emergencies Based on Cumulative Prospect Theory," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, May.
  • Handle: RePEc:hin:jnlmpe:3240483
    DOI: 10.1155/2022/3240483
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/3240483.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/3240483.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/3240483?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Alex S. Príncipe & Aloísio S. N. Filho & Bruna A. S. Machado & Josiane D. V. Barbosa & Ingrid Winkler & Cristiano V. Ferreira, 2023. "Decision Support Frameworks in Public Health Emergencies: A Systematic Review of Dynamic Models in Complex Contexts," IJERPH, MDPI, vol. 20(17), pages 1-25, August.

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:3240483. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.