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Dempster's combination rule is the most popular rule of combinations, but it is a poor solution for the management of the conflict between various information sources at the normalization step. Even when it faces high conflict information, the classical Dempster-Shafer theory can involve counter-intuitive results. To solve this problem, this paper combines fuzzy theory to put forward new improved...
Dempster-Shafer evidence theory (D-S theory) provides a useful computational scheme for integrating uncertainty information from multiple sources in artificial intelligence systems. D-S evidence theory is a useful method for dealing with uncertainty problems. Therefore, it has been successfully applied in data fusion and pattern recognition. However, it also has some shortcomings. The key problem...
D-S evidence theory is a useful method for dealing with uncertainty problems. It can combine evidences from different evidence sources. Therefore, it has been successfully applied in data fusion and target recognition. However, the multiplying strategy in D-S evidence theory results in an inherent drawback when dealing with conflicting evidences. In order to efficiently combine highly conflicting...
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