Volume 45 Issue 9
Sep.  2019
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Article Contents
ZHAO Jing, GUAN Xin, LIU Haiqiaoet al. A new conflict evidence decision method and its application[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(9): 1838-1847. doi: 10.13700/j.bh.1001-5965.2018.0787(in Chinese)
Citation: ZHAO Jing, GUAN Xin, LIU Haiqiaoet al. A new conflict evidence decision method and its application[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(9): 1838-1847. doi: 10.13700/j.bh.1001-5965.2018.0787(in Chinese)

A new conflict evidence decision method and its application

doi: 10.13700/j.bh.1001-5965.2018.0787
Funds:

National Natural Science Foundation of China 91538201

National Natural Science Foundation of China 61671463

National Natural Science Foundation of China 61571454

National Defense Science and Technology Excellence Youth Talent Fund 2017-JCJQ-2Q-003

Taishan Scholar Engineering Special Fund ts201712072

More Information
  • Corresponding author: GUAN Xin, E-mail: 597268914@qq.com
  • Received Date: 02 Jan 2019
  • Accepted Date: 22 Mar 2019
  • Publish Date: 20 Sep 2019
  • Research on conflict evidence decision methods is an important research topic of evidence theory. In view of the existing problems in the evidence theory improvement process, such as large computational complexity, unreasonable normalization process and unsatisfactory evidence combination, this paper proposes a method based on quadratic combination for conflict evidence decision-making. Firstly, the paper proposes a new flowchart of conflict evidence decision method based on quadratic combination. Secondly, a new multiplicative normalization rule is proposed, and a new multiplicative normalization rule is analyzed by example to verify its rationality. Finally, the shortcomings of the existing conflict measurement function are analyzed, a new conflict measurement function is proposed, and the rationality of the conflict measurement function is analyzed. Through the analysis of examples and the comparison with the existing evidence combination rules, it is shown that the proposed method not only improves the calculation amount, but also improves the combination results.

     

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