Fuzzy Compromise Programming

Fuzzy Compromise Programming is a fuzzy multi-criteria decision-making method that extends classical compromise programming by incorporating fuzzy sets to model uncertainty in aspiration levels and criteria, enabling the identification of solutions closest to an ideal point under imprecise conditions.

48

Publications

2.7K

Citations

126

Authors

68

Institutions

Publications per year

2017–2026

13

Authors

126

  1. SP
    Slobodan P. Simonović

    Western University, Canada

    5 publications · 379 citations

    5

    h-index

  2. IA
    Irfan Ali

    Aligarh Muslim University, India

    2 publications · 49 citations

    2

    h-index

  3. AH
    Ahteshamul Haq

    Aligarh Muslim University, India

    2 publications · 49 citations

    2

    h-index

  4. EB
    Enrique Ballestero

    Universidad Politécnica de Madrid, Spain

    2 publications · 113 citations

    2

    h-index

  5. NI
    Nirupama

    Brandon University, Canada

    2 publications · 87 citations

    2

    h-index

1–5 of 126

Venues

  1. Applied Mathematics and Computation

    3 publications · 194 citations

    3

    h-index

  2. Fuzzy Sets and Systems

    3 publications · 680 citations

    3

    h-index

  3. European Journal of Operational Research

    2 publications · 169 citations

    2

    h-index

  4. Journal of the Operational Research Society

    OR · 2 publications · 113 citations

    2

    h-index

  5. Decision Science Letters

    2 publications · 59 citations

    2

    h-index

1–5