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 what...

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Bibliographic Details
Main Authors: Servin, Christian (Author), Kreinovich, Vladik (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Studies in Systems, Decision and Control, 15
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction
  • Towards a More Adequate Description of Uncertainty
  • Towards Justification of Heuristic Techniques for Processing Uncertainty
  • Towards More Computationally Efficient Techniques for Processing Uncertainty
  • Towards Better Ways of Extracting Information About Uncertainty from Data.