Distributable certainty-based probability transforming method in evidence theory

A technology of evidence theory and conversion method, which is applied in the fields of uncertain data processing and decision fusion, which can solve the problems of lowering of basic probability value, inability to fully apply existing information, and wrong decision-making, so as to improve accuracy, reduce decision-making risk, Improve the effect of the scope of application

Inactive Publication Date: 2018-10-12
HENAN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] However, in these typical methods, only the likelihood function or the reliability function is used, and the existing information obtained cannot be fully applied, so that the converted basic probability value is greatly reduced, resulting in wrong decision-making.

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  • Distributable certainty-based probability transforming method in evidence theory
  • Distributable certainty-based probability transforming method in evidence theory

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Embodiment Construction

[0022] 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. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] see figure 1 , figure 1 is a flowchart of the present invention.

[0024] A probability conversion method based on assignable certainty in evidence theory, including S1 to S5.

[0025] S1. Calculate the trust function value and likelihood function value of each proposition in the evidence. The calculation method of the trust function value is The calculation method of the likelihood function value is Among them, A and B both represent the subsets ...

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Abstract

The invention provides a distributable certainty-based probability transforming method in evidence theory. The method comprises the following steps of: S1, calculating trust function values and likelihood function values of propositions in evidence; S2, calculating the distributable certainty information of the evidence according to the trust function values of the propositions; S3, judging whether the evidence comprises all single propositions or not; and S4, carrying out probability transformation according to the judgment result in the S3: S4.1, if the evidence comprises all the single propositions, carrying out the probability transformation on the credibility of the evidence by using a proportional distribution method and S4.2, if the evidence only comprises part of single propositions, carrying out the probability transformation by using a weighted combination method. The distributable certainty-based probability transforming method in the evidence theory, which is provided by the invention, is higher in accuracy and wide in application range.

Description

technical field [0001] The invention relates to the field of uncertain data processing and decision fusion methods, in particular to a probability conversion method based on assignable certainty in evidence theory. Background technique [0002] Decision-making is one of the indispensable activities in social practice, and occupies an important position in all fields of human beings. The premise of making an effective decision is that the probability value of each state parameter is known, and then judged by the probability decision model. D-S evidence theory is a method often used in the decision-making process. Its biggest feature is that it uses "interval estimation" instead of "point estimation" in the description of uncertainty information. There is a great deal of flexibility shown in precisely reflecting evidence collection. In the D-S (Dempster-Shafer) evidence theory, the uncertainty of each proposition is described from the single proposition and the compound prop...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15
CPCG06F17/15
Inventor 孙力帆张雅媛李率杰常玉婷付主木郑国强冀保峰王旭栋普杰信
Owner HENAN UNIV OF SCI & TECH
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