Uncertainty Reasoning

Uncertainty Reasoning is a subfield of artificial intelligence that comprises the formal methods and principles for representing, manipulating, and drawing inferences from knowledge that is incomplete, imprecise, ambiguous, or otherwise non-deterministic, rather than assuming fully known Boolean truth values.

3.4K

Publications

236.5K

Citations

5.7K

Authors

1.8K

Institutions

Publications per year

2017–2026

855

Authors

5.7K

  1. DD
    Didier Dubois

    Université Toulouse III - Paul Sabatier, France

    80 publications · 9.8K citations

    43

    h-index

  2. HP
    Henri Prade

    Université Toulouse III - Paul Sabatier, France

    58 publications · 7.6K citations

    33

    h-index

  3. RR
    Ronald R. Yager

    Iona College, United States

    44 publications · 2.7K citations

    28

    h-index

  4. HP
    Henri Prade

    Université Toulouse III - Paul Sabatier, France

    36 publications · 3.1K citations

    27

    h-index

  5. JM
    Jerry M. Mendel

    University of Southern California, United States

    26 publications · 7.3K citations

    21

    h-index

1–5 of 5.7K

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 105 publications · 15.7K citations

    50

    h-index

  2. Fuzzy Sets and Systems

    106 publications · 14.7K citations

    46

    h-index

  3. arXiv (Cornell University)

    Repository · 111 publications · 6.9K citations

    44

    h-index

  4. International Journal of Intelligent Systems

    73 publications · 4.1K citations

    35

    h-index

  5. Information Sciences

    76 publications · 6K citations

    34

    h-index

1–5