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- W2420743441 abstract "For decades, Dempster-Shafer evidence theory provides a solution for information fusion with reduced uncertainty and ambiguity. However, it commonly has to suffer from the counter-intuitive result. This paper presents a new approach by combining the generalized Mahalanobis distance with the theory, which assures the computation of evidences' dissimilarities be calculable. The experiment demonstrates that the proposed method outperforms other techniques with a more reasonable aggregation." @default.
- W2420743441 created "2016-06-24" @default.
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- W2420743441 date "2015-12-01" @default.
- W2420743441 modified "2023-09-23" @default.
- W2420743441 title "An evidence fusion method using generalized Mahalanobis distance in Dempster-Shafer Theory" @default.
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- W2420743441 doi "https://doi.org/10.1109/iccsnt.2015.7490792" @default.
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