Weighted average evidence synthesis method based on similarity analysis

Abstract

The invention relates to a weighted average evidence synthesis method based on similarity analysis, and belongs to the technical field of information fusion. The method comprises the following steps:step 1) obtaining basic probability distribution mi (A) of each evidence body Hi under an identification framework; 2) calculating a similarity coefficient sij between every two evidence bodies, and constructing a similarity coefficient matrix S of the evidence; 3) calculating a weight coefficient ki of each evidence body Hi according to the similarity coefficient matrix S of the evidence; and 4)synthesizing the evidence body according to the weighted average evidence combination rule to obtain the probability distribution m (A) after evidence synthesis. Compared with the prior art, the method has the advantages of being less influenced by evidence conflicts, simple in algorithm, good in stability, more reasonable in synthesis result and the like, and has important theoretical significance and application value.

Description

technical field [0001] The invention belongs to the technical field of information fusion and relates to a weighted average evidence synthesis method based on similarity analysis. Background technique [0002] In recent years, with the rapid development of social economy, the process of informatization has been accelerating, and the era of big data has come rapidly, information processing technology has become one of the important drivers of my country's development. Information fusion can collaboratively utilize multi-source information to obtain a more objective and essential understanding of things or targets. It has become an important way of thinking and technical direction of information processing, and it is one of the current research hotspots. As one of the most important information fusion methods, evidence theory has significant advantages in information uncertainty representation, measurement, synthesis, and reasoning, and has been applied in many fields such as ...

AI Technical Summary

Problems solved by technology

Although these evidence synthesis methods have solved the problem of high-conflict evidence synthesis paradox to a certain extent, there are more or less "one-vote veto", complex algorithms, large amount of calculation, slow convergence speed, poor stability, and complex The result is unreasonable and other shortcomings, still has great limitations, and the application effect is not ideal

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