mlsanityData to 14 Oct 2026

Generalized Evidence Theory

arXiv 1404.4801 ↗First posted 17 Apr 2014cs.AIcited by 11

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Abstract (arXiv)

Conflict management is still an open issue in the application of Dempster Shafer evidence theory. A lot of works have been presented to address this issue. In this paper, a new theory, called as generalized evidence theory (GET), is proposed. Compared with existing methods, GET assumes that the general situation is in open world due to the uncertainty and incomplete knowledge. The conflicting evidence is handled under the framework of GET. It is shown that the new theory can explain and deal with the conflicting evidence in a more reasonable way.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Apr 2014.

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Citing papers per year: 2021: 5; 2022: 2; 2023: 1; 2024: 1; 2025: 2.

11 papers.

  1. 2021Open-world Machine Learning: Applications, Challenges, and Opportunitiescited by 34
  2. 2024Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecastingcited by 11
  3. 2021MMGET: A Markov model for generalized evidence theorycited by 7
  4. 2022Meta-Uncertainty in Bayesian Model Comparisoncited by 5
  5. 2021Data Obsolescence Detection in the Light of Newly Acquired Valid Observationscited by 1
  6. 2023Sherlock Holmes Doesn't Play Dice: The mathematics of uncertain reasoning when something may happen, that one is not even able to figure outcited by 1
  7. 2025Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasingcited by 1
  8. 2025FNBT: Full Negation Belief Transformation for Open-World Information Fusion Based on Dempster-Shafer Theory of Evidencecited by 1
  9. 2021Current Trends and Applications of Dempster-Shafer Theory (Review)cited by 0
  10. 2021Annotation Uncertainty in the Context of Grammatical Changecited by 0
  11. 2022Repeatable Random Permutation Setcited by 0