Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion
On various examples ranging from geosciences to environmental sciences, this book explains how to generate an adequate description of uncertainty, how to justify semiheuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficient. It explains in wh...
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2015
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oai:scholar.dlu.edu.vn:DLU123456789-578162023-11-11T05:53:21Z Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion Servin, Christian Kreinovich, Vladik Uncertainty Uncertainty Information theory Uncertainty (Information theory) Cyberinfrastructure System Theory On various examples ranging from geosciences to environmental sciences, this book explains how to generate an adequate description of uncertainty, how to justify semiheuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficient. It explains in what sense the existing approach to uncertainty as a combination of random and systematic components is only an approximation, presents a more adequate three-component model with an additional 2015-08-28T09:00:06Z 2015-08-28T09:00:06Z 2015 Book 978-3-319-12628-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57816 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Uncertainty Uncertainty Information theory Uncertainty (Information theory) Cyberinfrastructure System Theory |
| spellingShingle |
Uncertainty Uncertainty Information theory Uncertainty (Information theory) Cyberinfrastructure System Theory Servin, Christian Kreinovich, Vladik Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion |
| description |
On various examples ranging from geosciences to environmental sciences, this
book explains how to generate an adequate description of uncertainty, how to justify
semiheuristic algorithms for processing uncertainty, and how to make these algorithms
more computationally efficient. It explains in what sense the existing approach to
uncertainty as a combination of random and systematic components is only an
approximation, presents a more adequate three-component model with an additional |
| format |
Book |
| author |
Servin, Christian Kreinovich, Vladik |
| author_facet |
Servin, Christian Kreinovich, Vladik |
| author_sort |
Servin, Christian |
| title |
Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion |
| title_short |
Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion |
| title_full |
Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion |
| title_fullStr |
Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion |
| title_full_unstemmed |
Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion |
| title_sort |
propagation of interval and probabilistic uncertainty in cyberinfrastructure-related data processing and data fusion |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57816 |
| _version_ |
1819774699059544064 |