Conflict evidence management method of low similarity collision in evidence theory

A technology of evidence theory and conflict evidence, applied in the field of information fusion, can solve problems such as similarity collision and unreasonable weight distribution, and achieve the effect of reducing the proportion of weight distribution, improving anti-noise ability, and reducing the impact

Inactive Publication Date: 2017-07-04
ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is a problem of collision in similarity, which will lead to unreasonable weight distribution when similarity collision occurs

Method used

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  • Conflict evidence management method of low similarity collision in evidence theory
  • Conflict evidence management method of low similarity collision in evidence theory
  • Conflict evidence management method of low similarity collision in evidence theory

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Embodiment Construction

[0025] Embodiments of the present invention will be specifically described below with reference to the accompanying drawings.

[0026] Such as figure 1 As shown, a conflict evidence management method for low similarity collisions in evidence theory, sorts all subsets of the identification framework, the number of subsets is recorded as p, and then several evidences are generated by the identification framework, and each evidence includes at least one focus After the evidence is generated, the evidence is followed by the focal element sequence generation stage and the evidence weight distribution stage;

[0027] The focal element sequence generation stage includes the following steps:

[0028] Step S1. Extend each evidence to generate extended evidence. The method of extension is: in the p subsets of the identification framework, add each subset not included in the evidence to the evidence to form several new focal elements , the probability corresponding to each new focal el...

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Abstract

The invention discloses a conflict evidence management method of low similarity collision in an evidence theory. All subsets in a discernment frame are ordered, the number of the subsets is P, the discernment frame generates a plurality of evidences, each evidence comprises at least one focal element, and after the evidences are generated, a focal element sequence generation phase and an evidence weight allocation phase are successively carried out for the evidences. The focal element sequence generation phase comprises three steps of generating extended evidences, generating ordered evidences, and generating ordered matrixes. The evidence weight allocation phase comprises the steps of calculating ordered difference matrixes, calculating ordering factors and an ordering number, calculating evidence similarity and support degrees, calculating evidence creditworthiness, calculating evidence united support degrees and calculating evidence weights. Good weight allocation can be carried out for each evidence of the evidence sets, weight allocation proportions of conflict evidences are reduced, the influence of the conflict evidences on a fusion result is reduced, and therefore anti-noise capabilities of a decision making system or a judgment system are improved.

Description

technical field [0001] The invention belongs to the technical field of information fusion, and specifically relates to a conflict evidence management method for low similarity collision in evidence theory. Background technique [0002] Multi-sensor information fusion plays a decisive role in improving the scientific decision-making, correctness of response, accuracy of target positioning and accuracy of information positioning of intelligent systems, and is widely used in automatic target recognition, aircraft navigation, tactical situation, threat Estimation, fault detection and localization etc. However, due to the influence of sensor performance and data acquisition environment, there are conflicts between the data acquired by sensors, and it is difficult to directly and effectively fuse data. Therefore, conflict detection and measurement of data becomes a key step to guide data fusion. As a common means of data fusion, D-S evidence theory is the main method to detect a...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor王剑张志勇向菲赵长伟乔阔远
OwnerZHENGZHOU UNIV