书目名称 | Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion | 编辑 | Christian Servin,Vladik Kreinovich | 视频video | | 概述 | Explains how to generate an adequate description of uncertainty.Shows how to justify semi-heuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficie | 丛书名称 | Studies in Systems, Decision and Control | 图书封面 |  | 描述 | .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.periodic error component, and explains how uncertainty propagation techniques can.be extended to this model. The book provides a justification for a practically efficient.heuristic technique (based on fuzzy decision-making). It explains how the computational.complexity of uncertainty processing can be reduced. The book also shows how to.take into account that in real life, the information about uncertainty is often only.partially known, and, on several practical examples, explains how to extract the missing.information about uncertainty from the available data.. | 出版日期 | Book 2015 | 关键词 | Cyberinfrastructure; Data Fusion; Data Processing; Fuzzy Decision-making; Interval and Probabilistic Unc | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-12628-9 | isbn_softcover | 978-3-319-38587-7 | isbn_ebook | 978-3-319-12628-9Series ISSN 2198-4182 Series E-ISSN 2198-4190 | issn_series | 2198-4182 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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