Robust Aggregation Operators

Robust Aggregation Operators is an aggregation operator that maintains stable and reliable output performance under the presence of outliers, noise, or perturbations in input data by minimizing the influence of extreme or erroneous values while preserving the integrity of the overall aggregation process.

31

Publications

1.5K

Citations

81

Authors

43

Institutions

Publications per year

2017–2026

26

Authors

81

  1. KU
    Kifayat Ullah

    Riphah International University, Pakistan

    5 publications · 157 citations

    5

    h-index

  2. CX
    Cong Xie

    University of Jinan, China

    4 publications · 318 citations

    4

    h-index

  3. HG
    Harish Garg

    Thapar Institute of Engineering & Technology, India

    4 publications · 324 citations

    4

    h-index

  4. IG
    Indranil Gupta

    University of Illinois Urbana-Champaign, United States

    4 publications · 318 citations

    4

    h-index

  5. AH
    Abrar Hussain

    Riphah International University, Pakistan

    4 publications · 139 citations

    4

    h-index

1–5 of 81

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 375 citations

    7

    h-index

  2. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 3 publications · 135 citations

    3

    h-index

  3. IEEE Access

    2 publications · 55 citations

    2

    h-index

  4. Heliyon

    2 publications · 84 citations

    2

    h-index

  5. Scientia Iranica

    1 publications · 100 citations

    1

    h-index

1–5