Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion: 15 (Studies in Systems, Decision and Control)

by VladikKreinovich (Author), Christian Servin (Author)

• New

  Hardcover
  2014

  $156.03

  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.