Quantitative Uncertainty Representation is a formal method for expressing uncertainty in numerical form, distinguished from qualitative approaches by its reliance on precise mathematical or statistical measures to quantify the degree of belief, confidence, or variability associated with uncertain information.
142
Publications
9K
Citations
382
Authors
230
Institutions
Publications per year
2017–2026
43
Parents
Publications
142
1–5 of 142
Authors
382
- SDSébastien Destercke
Centre National de la Recherche Scientifique, France
5 publications · 252 citations
5
h-index
- BD
3
h-index
- KB
3
h-index
- SF
2
h-index
- XP
2
h-index
1–5 of 382
Institutions
230
Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
304 citations
Institut de Recherche en Informatique de Toulouse
Toulouse, France
4 h-index
7 publications
825 citations
Université Toulouse III - Paul Sabatier
Toulouse, France
4 h-index
7 publications
825 citations
Vanderbilt University
Nashville, United States
4 h-index
9 publications
587 citations
Measurement Standards Laboratory of New Zealand
Lower Hutt, New Zealand
4 h-index
4 publications
86 citations
Imperial College London
London, United Kingdom
3 h-index
5 publications
115 citations
Statistics New Zealand
Wellington, New Zealand
3 h-index
3 publications
71 citations
Université Toulouse - Jean Jaurès
Toulouse, France
3 h-index
5 publications
571 citations
1–8 of 230
Venues
- Journal of Computational Physics
4 publications · 157 citations
4
h-index
- Computer Methods in Applied Mechanics and Engineering
4 publications · 106 citations
4
h-index
- Reliability Engineering & System Safety
3 publications · 328 citations
3
h-index
- Fuzzy Sets and Systems
3 publications · 80 citations
3
h-index
- Information Sciences
3 publications · 51 citations
3
h-index
1–5