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

  • Christian Servin
  • Vladik Kreinovich

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 15)

Table of contents

  1. Front Matter
    Pages 1-8
  2. Christian Servin, Vladik Kreinovich
    Pages 1-13
  3. Christian Servin, Vladik Kreinovich
    Pages 15-29
  4. Christian Servin, Vladik Kreinovich
    Pages 31-39
  5. Christian Servin, Vladik Kreinovich
    Pages 75-104
  6. Back Matter
    Pages 105-111

About this book


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.


Cyberinfrastructure Data Fusion Data Processing Fuzzy Decision-making Interval and Probabilistic Uncertainty Processing Uncertainty Semi-heuristic Algorithms Uncertainty Algorithms Uncertainty Data Uncertainty Programming

Authors and affiliations

  • Christian Servin
    • 1
  • Vladik Kreinovich
    • 2
  1. 1.Information Technology DepartmentEl Paso Community CollegeEl PasoUSA
  2. 2.Department of Computer ScienceUniversity of Texas at El PasoEl PasoUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-12627-2
  • Online ISBN 978-3-319-12628-9
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site