Fuzzy Integer Programming

Fuzzy Integer Programming is a mathematical optimization model belonging to the class of integer programming problems in which the parameters or constraints are characterized by fuzzy sets to handle imprecise or uncertain data in decision-making environments.

94

Publications

4.9K

Citations

219

Authors

120

Institutions

Publications per year

2017–2026

22

Authors

219

  1. GH
    Guohe Huang

    University of Regina, Canada

    8 publications · 373 citations

    8

    h-index

  2. KB
    Kathleen B. Aviso

    De La Salle University, Philippines

    4 publications · 194 citations

    4

    h-index

  3. RR
    Raymond R. Tan

    De La Salle University, Philippines

    4 publications · 194 citations

    4

    h-index

  4. MS
    Masatoshi Sakawa

    Hiroshima University, Japan

    3 publications · 178 citations

    3

    h-index

  5. JG
    John G. Breslin

    Ollscoil na Gaillimhe – University of Galway, Ireland

    3 publications · 122 citations

    3

    h-index

1–5 of 219

Venues

  1. Fuzzy Sets and Systems

    7 publications · 423 citations

    7

    h-index

  2. European Journal of Operational Research

    7 publications · 499 citations

    7

    h-index

  3. International Journal of Production Research

    5 publications · 280 citations

    5

    h-index

  4. IEEE Transactions on Power Systems

    3 publications · 227 citations

    3

    h-index

  5. Expert Systems with Applications

    3 publications · 83 citations

    3

    h-index

1–5