Fuzzy Uncertainty Visualization is a probabilistic visualization approach that specifically represents uncertainty characterized by模糊ness and imprecision through membership functions and non-probabilistic models, distinguishing it from stochastic or error-based uncertainty representations.
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Publications
104
Citations
11
Authors
8
Institutions
Publications per year
2017–2026
1
Parents
Publications
4
1–5 of 4
Authors
11
- XZ
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h-index
- RB
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- AA
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- SF
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- MT
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1–5 of 11
Institutions
8
Applied Biomathematics (United States)
Setauket-East Setauket, United States
1 h-index
1 publications
60 citations
Stony Brook University
Stony Brook, United States
1 h-index
1 publications
60 citations
King Abdulaziz University
Jeddah, Saudi Arabia
1 h-index
2 publications
42 citations
Queensland University of Technology
Brisbane, Australia
1 h-index
2 publications
22 citations
State University of New York
Albany, United States
1 h-index
1 publications
60 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
24 citations
Sichuan University
Chengdu, China
1 h-index
3 publications
63 citations
Sandia National Laboratories
Albuquerque, United States
1 h-index
1 publications
60 citations
1–8 of 8
Venues
- Risk Analysis
1 publications · 60 citations
1
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- Future Generation Computer Systems
FGCS · 1 publications · 11 citations
1
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- International Journal of Fuzzy Systems
IJFS · 1 publications · 21 citations
1
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- Expert Systems with Applications
1 publications · 12 citations
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