• Electronics Optics & Control
  • Vol. 27, Issue 3, 1 (2020)
GUAN Xin, ZHAO Jing, and LIU Haiqiao
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2020.03.001 Cite this Article
    GUAN Xin, ZHAO Jing, LIU Haiqiao. A Fast Algorithm for Conflict Evidence Reasoning[J]. Electronics Optics & Control, 2020, 27(3): 1 Copy Citation Text show less

    Abstract

    Conflict evidence reasoning is an important research subject of uncertain reasoning.There are many ways to effectively combine conflict evidences by using the revised data source.However, the formula describing the distance between the evidences used to modify the evidence source is complicated, and the flow of the algorithm is also complicated.The algorithm does not probe into the combination rule of the time-sequence evidences.In response to these problems, a fast algorithm for conflict evidence reasoning is proposed.Firstly, a new evidence measurement formula is proposed, and the validity and calculation amount of the evidence measurement formula are analyzed.Then, the general flow of the new algorithm is given, and the parameters in the flow are analyzed and determined.Finally, The algorithmic steps of the combination rule of the time-sequence evidences are given and the effectiveness of the algorithm is verified by example analysis.
    GUAN Xin, ZHAO Jing, LIU Haiqiao. A Fast Algorithm for Conflict Evidence Reasoning[J]. Electronics Optics & Control, 2020, 27(3): 1
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