Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion
By:Christian Servin,Vladik Kreinovich
Published on 2014-11-20 by Springer
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.
This Book was ranked at 2 by Google Books for keyword Data Processing.
Book ID of Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion's Books is icOPBQAAQBAJ, Book which was written byChristian Servin,Vladik Kreinovichhave ETAG "qW5nAXI+dOY"
Book which was published by Springer since 2014-11-20 have ISBNs, ISBN 13 Code is 9783319126289 and ISBN 10 Code is 3319126288
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