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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Servin, Christian (Autor), Kreinovich, Vladik (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Studies in Systems, Decision and Control, 15
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.