IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i5p691-d1347062.html
   My bibliography  Save this article

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

Author

Listed:
  • Yang Gao

    (Information and Navigation College, Air Force Engineering University, Xi’an 710077, China)

  • Na Lyu

    (Information and Navigation College, Air Force Engineering University, Xi’an 710077, China)

Abstract

Target threat assessment provides support for combat decision making. The multi-target threat assessment method based on a three-way decision can obtain threat classification while receiving threat ranking, thus avoiding the limitation of traditional two-way decisions. However, the heterogeneous situation information, attribute relevance, and adaptive information processing needs in complex battlefield environment bring challenges to existing methods. Therefore, this paper proposes a new multi-target three-way threat assessment method with heterogeneous information and attribute relevance. Firstly, dynamic assessment information is represented by heterogeneous information, and attribute weights are calculated by heterogeneous Criteria Importance Through Intercriteria Correlation (CRITIC). Then, the conditional probability is calculated by the heterogeneous weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the adaptive risk avoidance coefficients are constructed by calculating the uncertainty of the assessment value, and then the relative loss function matrices are constructed. Finally, the comprehensive loss function matrices are obtained by the weighted Heronian mean (HM) operator, and the comprehensive thresholds are calculated to obtain the three-way rules. The case study shows that compared with the existing methods, the proposed method can effectively handle the heterogeneous information and attribute relevance, and obtain the risk avoidance coefficients without presetting or field subjective settings, which is more suitable for the complex mission environment.

Suggested Citation

  • Yang Gao & Na Lyu, 2024. "A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance," Mathematics, MDPI, vol. 12(5), pages 1-22, February.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:5:p:691-:d:1347062
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/5/691/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/5/691/
    Download Restriction: no
    ---><---

    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:jmathe:v:12:y:2024:i:5:p:691-:d:1347062. 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: 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.