mlsanityData to 14 Oct 2026

Decision under Uncertainty

arXiv 1304.1527 ↗First posted 27 Mar 2013cs.AIcited by 11

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Abstract (arXiv)

We derive axiomatically the probability function that should be used to make decisions given any form of underlying uncertainty.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Mar 2013.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 3; 2023: 2; 2024: 0; 2025: 1; 2026: 2.

11 papers.

  1. 2021Uncertainty measures: The big picturecited by 8
  2. 2022The intersection probability: betting with probability intervalscited by 6
  3. 2022Flexible categorization for auditing using formal concept analysis and Dempster-Shafer theorycited by 3
  4. 2026Random-Set Graph Neural Networkscited by 3
  5. 2021Fusion of evidential CNN classifiers for image classificationcited by 2
  6. 2023Estimation of the qualification and behavior of a contributor and aggregation of his answers in a crowdsourcing contextcited by 1
  7. 2021A geometric approach to conditioning belief functionscited by 0
  8. 2022Belief functions on ordered frames of discernmentcited by 0
  9. 2023Model-free generalized fiducial inferencecited by 0
  10. 2025Co-Evidential Fusion with Information Volume for Medical Image Segmentationcited by 0
  11. 2026Long-Term Sequential Decision Making under Riskcited by 0