Weighted Aggregation

Weighted Aggregation is a data aggregation method that computes a composite value by assigning differential significance to individual data points through explicit weighting factors, thereby distinguishing it from uniform or unweighted aggregation techniques.

398

Publications

30.7K

Citations

932

Authors

464

Institutions

Publications per year

2017–2026

172

Authors

932

  1. RR
    Ronald R. Yager

    Iona College, United States

    17 publications · 9.5K citations

    17

    h-index

  2. ZX
    Zeshui Xu

    Sichuan University, China

    10 publications · 2K citations

    10

    h-index

  3. VT
    Vicenç Torra

    Artificial Intelligence Research Institute, Spain

    6 publications · 311 citations

    6

    h-index

  4. JY
    Jun Ye

    Shaoxing University, China

    6 publications · 211 citations

    6

    h-index

  5. YL
    Yaliang Li

    Alibaba Group (United States), United States

    5 publications · 421 citations

    5

    h-index

1–5 of 932

Venues

  1. International Journal of Intelligent Systems

    21 publications · 1.9K citations

    15

    h-index

  2. IEEE Transactions on Fuzzy Systems

    TFS · 15 publications · 1.4K citations

    14

    h-index

  3. Journal of Intelligent & Fuzzy Systems

    12 publications · 507 citations

    12

    h-index

  4. Expert Systems with Applications

    8 publications · 818 citations

    8

    h-index

  5. arXiv (Cornell University)

    Repository · 8 publications · 673 citations

    8

    h-index

1–5