Kernel Identification

Kernel Identification is a methodological contribution in outranking methods that consists in determining the subset of alternatives which are undominated and serve as the foundation for defining the final ranking or preference structure.

38

Publications

1.5K

Citations

93

Authors

47

Institutions

Publications per year

2017–2026

15

Authors

93

  1. TS
    Toshiharu Sugie

    Kyoto University, Japan

    4 publications · 79 citations

    4

    h-index

  2. YF
    Yusuke Fujimoto

    Kyoto University, Japan

    4 publications · 79 citations

    4

    h-index

  3. RJ
    Richard J. Prazenica

    University of Florida, United States

    3 publications · 54 citations

    3

    h-index

  4. AJ
    Andrew J. Kurdila

    University of Florida, United States

    3 publications · 54 citations

    3

    h-index

  5. SF
    Simone Formentin

    Politecnico di Milano, Italy

    2 publications · 37 citations

    2

    h-index

1–5 of 93

Venues

  1. Automatica

    5 publications · 165 citations

    5

    h-index

  2. International Journal of Control

    2 publications · 37 citations

    2

    h-index

  3. Biosystems Engineering

    2 publications · 97 citations

    2

    h-index

  4. IEEE Control Systems Letters

    1 publications · 16 citations

    1

    h-index

  5. W&M Publish (College of William & Mary)

    Repository · 1 publications · 118 citations

    1

    h-index

1–5