# Generalized Evidence Theory

arXiv: https://arxiv.org/abs/1404.4801 · HTML: https://mlsanity.com/paper/1404.4801/

## Key facts

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

## Built on by (most cited first, 11 of 11)

- [Open-world Machine Learning: Applications, Challenges, and Opportunities](https://mlsanity.com/paper/2105.13448/) (2021)
- [Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting](https://mlsanity.com/paper/2405.06419/) (2024)
- [MMGET: A Markov model for generalized evidence theory](https://mlsanity.com/paper/2105.07952/) (2021)
- [Meta-Uncertainty in Bayesian Model Comparison](https://mlsanity.com/paper/2210.07278/) (2022)
- [Data Obsolescence Detection in the Light of Newly Acquired Valid Observations](https://mlsanity.com/paper/2101.07067/) (2021)
- [Sherlock Holmes Doesn't Play Dice: The mathematics of uncertain reasoning when something may happen, that one is not even able to figure out](https://mlsanity.com/paper/2309.03222/) (2023)
- [Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing](https://mlsanity.com/paper/2508.01227/) (2025)
- [FNBT: Full Negation Belief Transformation for Open-World Information Fusion Based on Dempster-Shafer Theory of Evidence](https://mlsanity.com/paper/2508.08075/) (2025)
- [Current Trends and Applications of Dempster-Shafer Theory (Review)](https://mlsanity.com/paper/2103.15592/) (2021)
- [Annotation Uncertainty in the Context of Grammatical Change](https://mlsanity.com/paper/2105.07270/) (2021)
- [Repeatable Random Permutation Set](https://mlsanity.com/paper/2211.01676/) (2022)

## 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.