The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

Yibing Li · Jie Chen · Fang Ye · Dandan Liu

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Multi-Criteria Decision Making Target Tracking and Data Fusion in Sensor Networks Military Defense Systems Analysis

Abstract

ATR system has a broad application prospect in the military field, especially in the field of modern defense technology. When paradoxes are in existence in ATR system due to adverse battlefield environment, integration cannot be effectively and reliably carried out only by traditional DS evidence theory. In this paper, a modified DS evidence theory is presented and applied in IR/MMW target recognition system. The improvement of DS evidence theory is realized by three parts: the introduction of sensor priority and evidence credibility to realize the discount processing of evidences, the modification of DS combination rule to enhance the accuracy of synthesis results, and the compound decision-making rule. The application of the modified algorithm in IR/MMW system is designed to deal with paradoxes, improve the target recognition rate, and ensure the reliability of target recognition system. Experiments are given to illustrate that the introduction of the modified DS evidence theory in IR/MMW system is better able to realize satisfactory target recognition performance through multisensor information fusion than any single-mode system.

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References

1990The combination of evidence in the transferable belief model 2000Combining belief functions when evidence conflicts 2004Advances and Applications of DSmT for Information Fusion 2011A new fuzzy dempster MCDM method and its application in supplier selection 2020Advances and Applications of DSmT for Information Fusion : Collected Works 2001An expert system for multi-criteria decision making using Dempster Shafer theory 2005Fault diagnosis of machines based on D–S evidence theory. Part 1: D–S evidence theory and its improvement 2010An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect

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