Fuzzy Logic Classification

Fuzzy Logic Classification is a classification method that uses fuzzy logic to assign hydrometeor types by evaluating the degree of membership of observational variables in multiple overlapping classes based on predefined linguistic rules and uncertainty modeling.

1.8K

Publications

77.4K

Citations

4.8K

Authors

1.8K

Institutions

Publications per year

2017–2026

475

Authors

4.8K

  1. FH
    Francisco Herrera

    Universidad de Granada, Spain

    22 publications · 2.2K citations

    18

    h-index

  2. HI
    Hisao Ishibuchi

    Osaka Prefecture University, Japan

    26 publications · 1.8K citations

    15

    h-index

  3. HB
    Humberto Bustince

    Universidad Pública de Navarra (UPNA), Spain

    14 publications · 1.5K citations

    14

    h-index

  4. JS
    José Sanz

    Universidad Pública de Navarra (UPNA), Spain

    12 publications · 1.4K citations

    12

    h-index

  5. MJ
    María José del Jesús

    Universidad de Jaén, Spain

    11 publications · 1.2K citations

    11

    h-index

1–5 of 4.8K

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 47 publications · 4.3K citations

    33

    h-index

  2. Fuzzy Sets and Systems

    34 publications · 2.7K citations

    25

    h-index

  3. Expert Systems with Applications

    37 publications · 1.9K citations

    24

    h-index

  4. Applied Soft Computing

    29 publications · 1.5K citations

    22

    h-index

  5. Information Sciences

    28 publications · 1.7K citations

    22

    h-index

1–5