Chance-constrained Decision Making

Chance-Constrained Decision Making is a decision-making framework that belongs to the class of risk-sensitive optimization methods, distinguished by its requirement that the probability of satisfying specified constraints must exceed a predefined threshold under uncertainty.

65

Publications

5.8K

Citations

139

Authors

94

Institutions

Publications per year

2017–2026

18

Authors

139

  1. AC
    A. Charnes

    The University of Texas at Austin, United States

    5 publications · 3K citations

    5

    h-index

  2. WW
    W. W. Cooper

    The University of Texas at Austin, United States

    4 publications · 3K citations

    4

    h-index

  3. JK
    Jati K. Sengupta

    University of California, Santa Barbara, United States

    3 publications · 46 citations

    3

    h-index

  4. WV
    Wim van Ackooij

    Électricité de France (France), France

    3 publications · 64 citations

    3

    h-index

  5. SM
    Sanjay Mehrotra

    Northwestern University, United States

    2 publications · 237 citations

    2

    h-index

1–5 of 139

Venues

  1. Management Science

    6 publications · 3K citations

    6

    h-index

  2. Operations Research

    5 publications · 433 citations

    5

    h-index

  3. IEEE Transactions on Sustainable Energy

    TSTE · 2 publications · 119 citations

    2

    h-index

  4. International Economic Review

    2 publications · 34 citations

    2

    h-index

  5. Fuzzy Optimization and Decision Making

    2 publications · 30 citations

    2

    h-index

1–5