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
Parents
482
Analysis of Uncertain Structural Systems Using Interval Analysis
S. S. Rao, L. Berke · AIAA Journal · 1997 · 419 citations
1–5 of 482
1.2K
13
h-index
10
h-index
10
h-index
8
h-index
8
h-index
1–5 of 1.2K
487

Beihang University
Beijing, China
20 h-index
64 publications
3K citations

Hunan University
Changsha, China
18 h-index
64 publications
2.4K citations

The University of Texas at El Paso
El Paso, United States
14 h-index
43 publications
1.3K citations

Huazhong University of Science and Technology
Wuhan, China
13 h-index
63 publications
2.3K citations
University of Maryland, College Park
College Park, United States
11 h-index
31 publications
778 citations

UNSW Sydney
Sydney, Australia
11 h-index
33 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
15 publications
747 citations

South China University of Technology
Guangzhou, China
10 h-index
35 publications
1.1K citations
1–8 of 487
16 publications · 829 citations
16
h-index
12 publications · 987 citations
12
h-index
9 publications · 286 citations
9
h-index
MSSP · 9 publications · 358 citations
9
h-index
8 publications · 442 citations
8
h-index
1–5