Aggregation Function Selection

Aggregation Function Selection is the process of determining the most appropriate mathematical or statistical operation to combine multiple data values into a summarized form, distinguished by its focus on optimizing the choice of aggregation function based on data characteristics, analytical objectives, and computational constraints within a given analytical or modeling context.

52

Publications

2.6K

Citations

114

Authors

82

Institutions

Publications per year

2017–2026

19

Authors

114

  1. RM
    Radko Mesiar

    Slovak University of Technology in Bratislava, Slovakia

    6 publications · 444 citations

    6

    h-index

  2. GB
    Gleb Beliakov

    Deakin University, Australia

    5 publications · 389 citations

    5

    h-index

  3. HB
    Humberto Bustince

    Universidad Pública de Navarra (UPNA), Spain

    4 publications · 249 citations

    4

    h-index

  4. JM
    Jean‐Luc Marichal

    University of Luxembourg, Luxembourg

    3 publications · 361 citations

    3

    h-index

  5. MJ
    Michael J. Scott

    University of Illinois Chicago, United States

    2 publications · 138 citations

    2

    h-index

1–5 of 114

Venues

  1. Fuzzy Sets and Systems

    16 publications · 889 citations

    14

    h-index

  2. Information Sciences

    3 publications · 357 citations

    3

    h-index

  3. Decision Support Systems

    2 publications · 190 citations

    2

    h-index

  4. Journal of Mathematical Psychology

    1 publications · 28 citations

    1

    h-index

  5. Signal Processing

    1 publications · 16 citations

    1

    h-index

1–5