An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment

Research article (Soft Computing, 2021) · cited 19× · AI/ML
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An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment

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An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimal-evidential-data-fusion-algorithm-based-on-the-new-divergence-measure-of-basic-probability-assignment
MLA “An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimal-evidential-data-fusion-algorithm-based-on-the-new-divergence-measure-of-basic-probability-assignment.
BibTeX @misc{4ortxyz_an-optimal-evidential-data-fusion-algorithm-based-on-the-new-divergence-measure-of-basic-probability-assignment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimal-evidential-data-fusion-algorithm-based-on-the-new-divergence-measure-of-basic-probability-assignment}, note = {Accessed: 2026-05-24}}
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