Decision Robustness Analysis

Decision Robustness Analysis is a methodological framework within decision analysis that evaluates the stability of optimal decisions under varying assumptions or uncertain information inputs, distinguishing itself by systematically assessing how variations in model parameters or information structures affect decision outcomes.

32

Publications

2.9K

Citations

90

Authors

62

Institutions

Publications per year

2017–2026

7

Authors

90

  1. HR
    Holger R. Maier

    The University of Adelaide, Australia

    2 publications · 388 citations

    2

    h-index

  2. LC
    Luís C. Dias

    University of Coimbra, Portugal

    2 publications · 149 citations

    2

    h-index

  3. MJ
    Michael J. Ryan

    UNSW Sydney, Australia

    1 publications · 21 citations

    1

    h-index

  4. IP
    Ian Packham

    University of Plymouth, United Kingdom

    1 publications · 28 citations

    1

    h-index

  5. VM
    Vincent Mousseau

    Université Paris Dauphine-PSL, France

    1 publications · 92 citations

    1

    h-index

1–5 of 90

Venues

  1. Journal of Multi-Criteria Decision Analysis

    4 publications · 297 citations

    4

    h-index

  2. European Journal of Operational Research

    2 publications · 282 citations

    2

    h-index

  3. Applied Soft Computing

    2 publications · 37 citations

    2

    h-index

  4. Economics

    1 publications · 25 citations

    1

    h-index

  5. IEEE Transactions on Information Theory

    1 publications · 50 citations

    1

    h-index

1–5