Probabilistic Aggregation Operators

Probabilistic Aggregation Operators is an aggregation operator that incorporates probabilistic information to weigh or combine input arguments, distinguishing itself from deterministic aggregation methods by explicitly accounting for uncertainty and likelihood distributions in the aggregation process.

63

Publications

2.5K

Citations

114

Authors

83

Institutions

Publications per year

2017–2026

27

Authors

114

  1. JM
    José M. Merigó

    University of Chile, Chile

    14 publications · 640 citations

    13

    h-index

  2. RR
    Ronald R. Yager

    Iona College, United States

    6 publications · 247 citations

    6

    h-index

  3. GW
    Guiwu Wei

    Sichuan Normal University, China

    5 publications · 217 citations

    5

    h-index

  4. MC
    Montserrat Casanovas

    Universitat de Barcelona, Spain

    4 publications · 174 citations

    4

    h-index

  5. ZX
    Zeshui Xu

    Sichuan University, China

    3 publications · 159 citations

    3

    h-index

1–5 of 114

Venues

  1. International Journal of Intelligent Systems

    7 publications · 428 citations

    7

    h-index

  2. Symmetry

    3 publications · 102 citations

    3

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 3 publications · 81 citations

    3

    h-index

  4. Journal of Intelligent & Fuzzy Systems

    2 publications · 45 citations

    2

    h-index

  5. Fuzzy Sets and Systems

    2 publications · 43 citations

    2

    h-index

1–5