Conflict evidence combination method based on weighted correction

A combination method and conflict evidence technology, which is applied in the field of conflict evidence resolution based on the uncertainty interval distance of evidence, and can solve problems such as counter-intuitiveness and uncertain interval distance.

Pending Publication Date: 2019-06-11
NAVAL AERONAUTICAL UNIV
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AI Technical Summary

Problems solved by technology

[0004] In order to solve the anti-intuitive problem of the combination of multiple pieces of evidence cont

Method used

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  • Conflict evidence combination method based on weighted correction
  • Conflict evidence combination method based on weighted correction
  • Conflict evidence combination method based on weighted correction

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Embodiment

[0047] Assuming the identification frame Θ={A, B, AB, C, AC, BC, ABC}, the BPAs of the seven pieces of evidence are as follows, and the third and seventh pieces of evidence are conflicting evidences.

[0048] m 1 (A)=0.55,m 1 (B)=0.1,m 1 (AB)=0.1,m 1 (C)=0.1,m 1 (AC)=0.1,m 1 (BC) = 0.05;

[0049] m 2 (A)=0.6,m 2 (B)=0.1,m 2 (AB)=0.05,m 2 (C)=0.1,m 2 (AC)=0.1,m 2 (BC) = 0.05;

[0050] m 3 (A)=0,m 3 (B)=0.65,m 3 (AB)=0,m 3 (C)=0.15,m 1 (AC)=0,m 1 (BC) = 0.2;

[0051] m 4 (A)=0.5,m 4 (B)=0.1,m 4 (AB)=0.2,m 4 (C)=0.1,m 4 (AC)=0.05,m 4 (BC) = 0.05;

[0052] m 5 (A)=0.65,m 5 (B)=0,m 5 (AB)=0.1,m 5 (C)=0.1,m 5 (AC)=0.1,m 5 (BC) = 0.05;

[0053] m 6 (A)=0.7,m 6 (B)=0.05,m 6 (AB)=0.05,m 6 (C)=0.1,m 6 (AC)=0.1,m 1 (BC) = 0;

[0054] m 7 (A)=0,m 7 (B)=0.55,m 7 (AB)=0,m 7 (C)=0.25,m 7 (AC)=0.2,m 7 (BC) = 0.

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Abstract

The invention discloses a conflict evidence combination method based on weighted correction in order to solve the problem that a plurality of evidence combinations containing conflict evidences are inversely intuitive. The method comprises the following steps: firstly, determining a representation method of an uncertain interval, and then according to the uncertain interval, giving a new intervaldistance calculation method based on a focal element reliability and a likelihood function; secondly, calculating interval distances among the focal elements with the same evidence, and summing to generate a distance matrix among all the focal element evidences; then, generating weights among the evidences through the distance matrix, and correcting the original evidences according to the weights;finally, completing new evidence combination through the DS and the PCR6, and the method is suitable for multi-evidence and multi-conflict situations in engineering.

Description

technical field [0001] The invention relates to a multi-sensor data fusion algorithm, in particular to a conflict evidence resolution method based on evidence uncertainty interval distance. Background technique [0002] Evidence theory, also known as DS evidence theory, is an uncertain reasoning method, which is mainly oriented to the power set of the basic hypothesis set in the recognition framework, and is suitable for sensor measurements at different levels. In addition, the theory takes into account the uncertainty of measurement values, so it is a better uncertainty reasoning method for multi-sensor data fusion. However, when there are conflicts among the evidences, the DS combination rules will present the problem of anti-intuitive combination results, that is, high conflict evidences will make the DS theoretical results deviate. [0003] In order to solve the impact of conflicting evidence on DS theory, the idea of ​​defining evidence distance can be used to solve th...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 关欣衣晓吴斌王培元
Owner NAVAL AERONAUTICAL UNIV
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