Probability-based Decision Making

Probability-Based Decision Making is a decision-making framework within stochastic multi-criteria decision analysis that characterizes uncertainty through probabilistic models to quantify and evaluate criteria outcomes, thereby enabling choices that optimize expected utility under randomness.

386

Publications

37.9K

Citations

933

Authors

471

Institutions

Publications per year

2017–2026

120

Authors

933

  1. ZX
    Zeshui Xu

    Sichuan University, China

    10 publications · 761 citations

    10

    h-index

  2. JM
    José M. Merigó

    University of Chile, Chile

    8 publications · 479 citations

    8

    h-index

  3. RS
    Robert Schlaifer

    Harvard University Press, United States

    7 publications · 2.9K citations

    7

    h-index

  4. RL
    Risto Lahdelma

    Aalto University, Finland

    7 publications · 737 citations

    7

    h-index

  5. HR
    Howard Raiffa

    Harvard University Press, United States

    5 publications · 2.3K citations

    5

    h-index

1–5 of 933

Venues

  1. Technometrics

    12 publications · 8.8K citations

    12

    h-index

  2. European Journal of Operational Research

    13 publications · 788 citations

    11

    h-index

  3. Journal of the Operational Research Society

    OR · 11 publications · 571 citations

    11

    h-index

  4. Expert Systems with Applications

    11 publications · 499 citations

    10

    h-index

  5. Information Sciences

    10 publications · 2.8K citations

    10

    h-index

1–5