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
Parents
181
1–5 of 181
434
17
h-index
15
h-index
12
h-index
11
h-index
9
h-index
1–5 of 434
208
University of Tabriz
Tabriz, Iran
20 h-index
60 publications
3.6K citations
Technion – Israel Institute of Technology
Haifa, Israel
14 h-index
23 publications
1.1K citations
University College Dublin
Dublin, Ireland
10 h-index
20 publications
1.1K citations

Sharif University of Technology
Tehran, Iran
8 h-index
15 publications
774 citations

UNSW Sydney
Sydney, Australia
8 h-index
13 publications
902 citations
University of Zanjan
Zanjān, Iran
8 h-index
13 publications
674 citations
Duy Tan University
Da Nang, Vietnam
7 h-index
8 publications
485 citations

Semnan University
Semnan, Iran
7 h-index
11 publications
697 citations
1–8 of 208
14 publications · 1.1K citations
14
h-index
10 publications · 482 citations
10
h-index
10 publications · 626 citations
10
h-index
9 publications · 858 citations
9
h-index
9 publications · 236 citations
9
h-index
1–5