Fuzzy Linear Programming

Fuzzy Linear Programming is a mathematical optimization method that extends classical linear programming by incorporating fuzzy sets to model imprecise or uncertain parameters in the objective function and constraints.

665

Publications

37.1K

Citations

1K

Authors

484

Institutions

Publications per year

2017–2026

113

Authors

1K

  1. GH
    Guohe Huang

    University of Regina, Canada

    22 publications · 1K citations

    18

    h-index

  2. MS
    Masatoshi Sakawa

    Hiroshima University, Japan

    30 publications · 1.3K citations

    18

    h-index

  3. AE
    Ali Ebrahimnejad

    Qaemshahr Islamic Azad University, Iran

    20 publications · 762 citations

    17

    h-index

  4. JL
    José Luís Verdegay

    Universidad de Granada, Spain

    18 publications · 1.2K citations

    15

    h-index

  5. AK
    Amit Kumar

    Thapar Institute of Engineering & Technology, India

    15 publications · 637 citations

    13

    h-index

1–5 of 1K

Venues

  1. Fuzzy Sets and Systems

    101 publications · 13.4K citations

    55

    h-index

  2. European Journal of Operational Research

    22 publications · 2.4K citations

    19

    h-index

  3. Applied Mathematical Modelling

    18 publications · 1.6K citations

    17

    h-index

  4. Information Sciences

    16 publications · 963 citations

    15

    h-index

  5. Journal of Intelligent & Fuzzy Systems

    20 publications · 474 citations

    14

    h-index

1–5