Chance-constrained Decision Models

Chance-Constrained Decision Models is a stochastic decision-making framework that belongs to the class of optimization models under uncertainty, distinguished by its incorporation of probabilistic constraints to ensure that the solution remains feasible with a specified confidence level.

61

Publications

6K

Citations

145

Authors

88

Institutions

Publications per year

2017–2026

23

Authors

145

  1. AC
    A. Charnes

    The University of Texas at Austin, United States

    4 publications · 3K citations

    4

    h-index

  2. WW
    W. W. Cooper

    The University of Texas at Austin, United States

    4 publications · 3K citations

    4

    h-index

  3. AN
    Arkadi Nemirovski

    Technion – Israel Institute of Technology, Israel

    2 publications · 167 citations

    2

    h-index

  4. ME
    Maria Elena Bruni

    University of Calabria, Italy

    2 publications · 29 citations

    2

    h-index

  5. FD
    Florian Dörfler

    ETH Zurich, Switzerland

    2 publications · 27 citations

    2

    h-index

1–5 of 145

Venues

  1. Management Science

    5 publications · 2.9K citations

    5

    h-index

  2. European Journal of Operational Research

    3 publications · 178 citations

    3

    h-index

  3. Journal of Cleaner Production

    2 publications · 122 citations

    2

    h-index

  4. Operations Research

    2 publications · 145 citations

    2

    h-index

  5. 2

    h-index

1–5