Info-gap Decision Theory

Info-Gap Decision Theory is a decision-making framework that belongs to the class of robustness-based theories and is distinguished by its focus on quantifying uncertainty through a non-probabilistic model of local deviation from a best estimate, prioritizing robustness against unexpected departures rather than optimizing expected performance.

181

Publications

9.3K

Citations

434

Authors

208

Institutions

Publications per year

2017–2026

106

Variants

Igdt

Authors

434

  1. BM
    Behnam Mohammadi‐Ivatloo

    University of Tabriz, Iran

    18 publications · 1.3K citations

    17

    h-index

  2. YB
    Yakov Ben‐Haim

    Technion – Israel Institute of Technology, Israel

    18 publications · 949 citations

    15

    h-index

  3. KZ
    Kazem Zare

    University of Tabriz, Iran

    12 publications · 749 citations

    12

    h-index

  4. AS
    Alireza Soroudi

    University College Dublin, Ireland

    11 publications · 688 citations

    11

    h-index

  5. SN
    Sayyad Nojavan

    University of Tabriz, Iran

    9 publications · 429 citations

    9

    h-index

1–5 of 434

Venues

  1. IEEE Transactions on Power Systems

    14 publications · 1.1K citations

    14

    h-index

  2. 10

    h-index

  3. IEEE Transactions on Industrial Informatics

    10 publications · 626 citations

    10

    h-index

  4. IEEE Transactions on Smart Grid

    9 publications · 858 citations

    9

    h-index

  5. IET Renewable Power Generation

    9 publications · 236 citations

    9

    h-index

1–5