Averaging Ordered Weighted Operators

Averaging Ordered Weighted Operators is an aggregation operator that belongs to the class of mean-type functions by assigning weights to ordered input arguments, thereby generalizing the arithmetic mean through a permutation-invariant weighting scheme applied after sorting the inputs in ascending or descending order.

107

Publications

5.4K

Citations

204

Authors

122

Institutions

Publications per year

2017–2026

36

Authors

204

  1. RR
    Ronald R. Yager

    Iona College, United States

    13 publications · 1.4K citations

    13

    h-index

  2. JM
    José M. Merigó

    University of Chile, Chile

    11 publications · 363 citations

    11

    h-index

  3. LJ
    LeSheng Jin

    Nanjing Normal University, China

    5 publications · 148 citations

    5

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  4. RM
    Radko Mesiar

    Slovak University of Technology in Bratislava, Slovakia

    4 publications · 126 citations

    4

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  5. BS
    Byeong Seok Ahn

    Chung-Ang University, South Korea

    4 publications · 209 citations

    4

    h-index

1–5 of 204

Venues

  1. International Journal of Intelligent Systems

    13 publications · 470 citations

    13

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  2. IEEE Transactions on Fuzzy Systems

    TFS · 12 publications · 594 citations

    12

    h-index

  3. Information Sciences

    6 publications · 157 citations

    6

    h-index

  4. Computers & Industrial Engineering

    3 publications · 91 citations

    3

    h-index

  5. 3

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1–5