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Implementation method for processing conflict evidences based on DS evidence theory

A technology of conflict evidence and implementation method, applied in the field of DS evidence theory, it can solve problems such as unreasonable local information, inability to deal with high conflict evidence, and focus elements that have not been effectively processed, achieving high accuracy, solving fusion problems, and convergence speed. quick effect

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AI Technical Summary

Problems solved by technology

[0003] The traditional DS evidence theory has the defect of being unable to deal with high-conflict evidence, and often draws conclusions that are contrary to common sense. However, in practical applications, simply assigning the same weight to each focal element of the entire evidence will lead to individual focal elements with large fluctuations. Without effective processing, this neglect of local information is unreasonable

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  • Implementation method for processing conflict evidences based on DS evidence theory
  • Implementation method for processing conflict evidences based on DS evidence theory
  • Implementation method for processing conflict evidences based on DS evidence theory

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Embodiment Construction

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0044] According to an embodiment of the present invention, an implementation method for processing conflicting evidence based on DS evidence theory is provided.

[0045] Such as Figure 1-Figure 2 As shown, the implementation method for processing conflicting evidence based on the DS evidence theory according to the embodiment of the present invention includes the following steps:

[0046] Step S1, calculating the credibility of the evidence;

[0047] Step S2, calculate the average evidenc...

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Abstract

The invention discloses an implementation method for processing conflict evidences based on a DS evidence theory, and relates to the technical field of DS evidence theories. The method comprises the following steps: calculating evidence credibility; calculating an average evidence and calculating focal element credibility; calculating the reasonable degree D[mi(A)] of the focal element according to the focal element distance; distributing conflicts and constructing new evidences m; and carrying out Dempster combination on the new evidence. According to the method, the average evidence is calculated by defining the evidence weight, the focal element distance of each evidence is calculated by using the average evidence, the conflict is reallocated to each focal element according to the focalelement distance, the new evidence body is constructed, and the traditional Dempster combination is performed on the new evidence body to obtain the fusion result, so high accuracy, high convergencespeed and high accuracy are realized when the high-conflict evidence is processed, and the problem of high-conflict evidence fusion is well solved.

Description

technical field [0001] The invention relates to the technical field of DS evidence theory, in particular to a method for realizing conflict evidence processing based on DS evidence theory. Background technique [0002] DS (Dempster-Shafer) evidence theory is a kind of fuzzy reasoning theory, which can integrate two or more basic probability assignments (Basic Probability Assignment, BPA) of evidence, and is widely used in fault judgment, target recognition, state evaluation, Reliability analysis and other multi-source information fusion fields. [0003] The traditional DS evidence theory has the defect of being unable to deal with high-conflict evidence, and often draws conclusions that are contrary to common sense. However, in practical applications, simply assigning the same weight to each focal element of the entire evidence will lead to individual focal elements with large fluctuations. Without effective processing, this neglect of local information is unreasonable. ...

Claims

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Application Information

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IPC IPC(8): G06F17/18G06F17/16
CPCG06F17/16G06F17/18
Inventor 雷震烁
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