Interval Uncertainty Analysis

Interval Uncertainty Analysis is a methodological framework within robust decision making that characterizes uncertainty using bounded intervals rather than probabilistic distributions, thereby enabling decision analysis under severe uncertainty where precise likelihoods are unknown or indefinable.

482

Publications

19.9K

Citations

1.2K

Authors

487

Institutions

Publications per year

2017–2026

206

Authors

1.2K

  1. ZQ
    Zhiping Qiu

    Beihang University, China

    14 publications · 1.1K citations

    13

    h-index

  2. WG
    Wei Gao

    UNSW Sydney, Australia

    10 publications · 494 citations

    10

    h-index

  3. SA
    Shapour Azarm

    University of Maryland, College Park, United States

    11 publications · 272 citations

    10

    h-index

  4. SF
    Scott Ferson

    Applied Biomathematics (United States), United States

    8 publications · 166 citations

    8

    h-index

  5. MG
    Matthias G.R. Faes

    TU Dortmund University, Germany

    8 publications · 309 citations

    8

    h-index

1–5 of 1.2K

Venues

  1. Applied Mathematical Modelling

    16 publications · 829 citations

    16

    h-index

  2. 12

    h-index

  3. Journal of Mechanical Design

    9 publications · 286 citations

    9

    h-index

  4. Mechanical Systems and Signal Processing

    MSSP · 9 publications · 358 citations

    9

    h-index

  5. Computers & Structures

    8 publications · 442 citations

    8

    h-index

1–5