IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v13y2017i3p1550147717696506.html
   My bibliography  Save this article

A new conflict management method in Dempster–Shafer theory

Author

Listed:
  • Jian Wang
  • Kuoyuan Qiao
  • Zhiyong Zhang
  • Fei Xiang

Abstract

Conflict management is a hot research topic in Dempster–Shafer theory which is used to avoid the counterintuition problem of combination results. In the present conflict management methods, conflicting evidence is assigned to smaller weight to reduce its influence on the combination result. However, these methods will be disabled when similarity collision occurs. In this article, a new conflict management method based on similarity and Basic Probability Assignment-Matrix is proposed; in the proposed method, similarity collision is diminished by computing the index of each element in evidence, and then, a more reasonable evidence weight can be determined in this way. In the end, two experiments are set to compare the results of several different methods, and the results illustrate that the conflicting evidence will be assigned to a smaller weight in our method than in others.

Suggested Citation

  • Jian Wang & Kuoyuan Qiao & Zhiyong Zhang & Fei Xiang, 2017. "A new conflict management method in Dempster–Shafer theory," International Journal of Distributed Sensor Networks, , vol. 13(3), pages 15501477176, March.
    • Handle: RePEc:sae:intdis:v:13:y:2017:i:3:p:1550147717696506
    DOI: 10.1177/1550147717696506
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147717696506
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147717696506?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
    ---><---

    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:sae:intdis:v:13:y:2017:i:3:p:1550147717696506. 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: SAGE Publications (email available below). General contact details of provider: .

    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.