An Improved D-S Evidence Theory Method based on Evidence Influence Weight

Jian Wang ； Jiehui Li

《International Core Journal of Engineering》 8卷7期 (2022/07) Pp. 168-178

https://doi.org/10.6919/ICJE.202207_8(7).0024

摘要

The D-S evidence theory in Multi-information fusion has been widely used in many fields, there always been controversial in the problem of evidence conflict. Aiming at this problem, this paper proposes an improved D-S evidence theory method based on the weight of evidence influence. First, the influence weight of evidence is calculated by neural network to obtain the internal correlation and influence between evidences; Then import the evidence into the improved DS synthesis rule to obtain the synthesis result; Finally, design simulation experiments to analyze the performance of the method in terms of the number of evidence and conflict problems, and compare it with existing methods. The simulation results show that the improved method has excellent convergence speed when the number of evidences is greater than 4, the trust degree of a single focus element is 0.9359, the degree of concentration of focus element trust is high, and it is less affected by a single high conflict evidence; when the number of evidence is 7, a single focus element has a trust degree of over 0.99, the performance is stable and the robustness is good; The results are greatly improved compared with other methods, which can prove the advancement and effectiveness of this improved method.

關鍵字

D-S Evidence Theory ； Evidence ； Conflict ； Weight ； Neural Network

參考文獻

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