Membership Functions

Membership function is a mathematical function that defines the degree of membership of an element in a fuzzy set, distinguishing it from classical binary membership by allowing values in the continuous interval [0, 1] to represent partial membership.

4.2K

Publications

216.5K

Citations

8.2K

Authors

2.4K

Institutions

Publications per year

2017–2026

1.1K

Variants

Membership Function

Authors

8.2K

  1. HL
    Hak‐Keung Lam

    King's College London, United Kingdom

    100 publications · 8.5K citations

    48

    h-index

  2. WP
    Witold Pedrycz

    University of Alberta, Canada

    45 publications · 3K citations

    27

    h-index

  3. OC
    Oscar Castillo

    Instituto Tecnológico de Tijuana, Mexico

    48 publications · 1.7K citations

    24

    h-index

  4. JM
    Jerry M. Mendel

    University of Southern California, United States

    30 publications · 8.1K citations

    24

    h-index

  5. PM
    Patricia Melín

    Instituto Tecnológico de Tijuana, Mexico

    27 publications · 1.2K citations

    19

    h-index

1–5 of 8.2K

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 396 publications · 39.7K citations

    103

    h-index

  2. Fuzzy Sets and Systems

    194 publications · 13.9K citations

    57

    h-index

  3. 40

    h-index

  4. IEEE Transactions on Cybernetics

    38 publications · 3.6K citations

    29

    h-index

  5. Information Sciences

    46 publications · 4K citations

    27

    h-index

1–5