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Evidence conflict measure based on OWA operator in open world

Author

Listed:
  • Wen Jiang
  • Shiyu Wang
  • Xiang Liu
  • Hanqing Zheng
  • Boya Wei

Abstract

Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer. Many scholars have been conducted on conflict management of Dempster-Shafer evidence theory in past decades. However, how to determine a potent parameter to measure evidence conflict, when the given environment is in an open world, namely the frame of discernment is incomplete, is still an open issue. In this paper, a new method which combines generalized conflict coefficient, generalized evidence distance, and generalized interval correlation coefficient based on ordered weighted averaging (OWA) operator, to measure the conflict of evidence is presented. Through ordered weighted average of these three parameters, the combinatorial coefficient can still measure the conflict effectively when one or two parameters are not valid. Several numerical examples demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Wen Jiang & Shiyu Wang & Xiang Liu & Hanqing Zheng & Boya Wei, 2017. "Evidence conflict measure based on OWA operator in open world," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0177828
    DOI: 10.1371/journal.pone.0177828
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    Cited by:

    1. Liming Gou & Jian Zhang & Naiwen Li & Zongshui Wang & Jindong Chen & Lin Qi, 2022. "Weighted assignment fusion algorithm of evidence conflict based on Euclidean distance and weighting strategy, and application in the wind turbine system," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-20, January.
    2. Yilin Dong & Xinde Li & Yihai Liu, 2018. "A fast combination method in DSmT and its application to recommender system," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-25, January.

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