An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment

Research article (Journal of Mathematics, 2020) · cited 13× · AI/ML
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An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment

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An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-data-fusion-method-based-on-weighted-belief-entropy-considering-the-negation-of-basic-probability-assignment
MLA “An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-data-fusion-method-based-on-weighted-belief-entropy-considering-the-negation-of-basic-probability-assignment.
BibTeX @misc{4ortxyz_an-improved-data-fusion-method-based-on-weighted-belief-entropy-considering-the-negation-of-basic-probability-assignment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-data-fusion-method-based-on-weighted-belief-entropy-considering-the-negation-of-basic-probability-assignment}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Improved Data Fusion Method Based on Weighted Belief Entropy considering the Negation of Basic Probability Assignment — https://4ort.xyz/entity/an-improved-data-fusion-method-based-on-weighted-belief-entropy-considering-the-negation-of-basic-probability-assignment (retrieved 2026-05-24)

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