Uncertainty Aggregation

Uncertainty Aggregation is a computational method that synthesizes disparate uncertainty representations across multiple variables or data instances in multivariate, network, or visual analytics contexts to produce a unified, interpretable measure of overall uncertainty.

166

Publications

8.6K

Citations

385

Authors

224

Institutions

Publications per year

2017–2026

56

Authors

385

  1. GW
    Guiwu Wei

    Sichuan Normal University, China

    10 publications · 446 citations

    10

    h-index

  2. RR
    Ronald R. Yager

    Iona College, United States

    9 publications · 300 citations

    9

    h-index

  3. JM
    José M. Merigó

    University of Chile, Chile

    8 publications · 415 citations

    8

    h-index

  4. ZX
    Zeshui Xu

    Sichuan University, China

    6 publications · 1.1K citations

    6

    h-index

  5. RM
    Radko Mesiar

    Slovak University of Technology in Bratislava, Slovakia

    5 publications · 242 citations

    5

    h-index

1–5 of 385

Venues

  1. International Journal of Intelligent Systems

    11 publications · 906 citations

    10

    h-index

  2. Information Sciences

    10 publications · 1.7K citations

    10

    h-index

  3. Journal of Intelligent & Fuzzy Systems

    6 publications · 154 citations

    6

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 5 publications · 258 citations

    5

    h-index

  5. 5

    h-index

1–5