Non-Fiction Books:

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion

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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 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.
Release date NZ
September 10th, 2016
Audience
  • Professional & Vocational
Edition
Softcover reprint of the original 1st ed. 2015
Illustrations
22 Illustrations, black and white; VIII, 112 p. 22 illus.
Pages
112
Dimensions
155x235x7
ISBN-13
9783319385877
Product ID
26030801

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