Published by Springer International Publishing, 2014
ISBN 10: 331912627X ISBN 13: 9783319126272
Language: English
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Published by Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319385879 ISBN 13: 9783319385877
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - On various examples ranging from geosciences to environmental sciences, thisbook explains how to generate an adequate description of uncertainty, how to justifysemiheuristic algorithms for processing uncertainty, and how to make these algorithmsmore computationally efficient. It explains in what sense the existing approach touncertainty as a combination of random and systematic components is only anapproximation, presents a more adequate three-component model with an additionalperiodic error component, and explains how uncertainty propagation techniques canbe extended to this model. The book provides a justification for a practically efficientheuristic technique (based on fuzzy decision-making). It explains how the computationalcomplexity of uncertainty processing can be reduced. The book also shows how totake into account that in real life, the information about uncertainty is often onlypartially known, and, on several practical examples, explains how to extract the missinginformation about uncertainty from the available data.
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319385879 ISBN 13: 9783319385877
Language: English
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Published by Berlin Springer International Publishing Springer Sep 2016, 2016
ISBN 10: 3319385879 ISBN 13: 9783319385877
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -On various examples ranging from geosciences to environmental sciences, thisbook explains how to generate an adequate description of uncertainty, how to justifysemiheuristic algorithms for processing uncertainty, and how to make these algorithmsmore computationally efficient. It explains in what sense the existing approach touncertainty as a combination of random and systematic components is only anapproximation, presents a more adequate three-component model with an additionalperiodic error component, and explains how uncertainty propagation techniques canbe extended to this model. The book provides a justification for a practically efficientheuristic technique (based on fuzzy decision-making). It explains how the computationalcomplexity of uncertainty processing can be reduced. The book also shows how totake into account that in real life, the information about uncertainty is often onlypartially known, and, on several practical examples, explains how to extract the missinginformation about uncertainty from the available data. 112 pp. Englisch.
Published by Springer International Publishing, 2014
ISBN 10: 331912627X ISBN 13: 9783319126272
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains how to generate an adequate description of uncertaintyShows how to justify semi-heuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficientIncludes various examples and real-life.
Published by Springer International Publishing, 2016
ISBN 10: 3319385879 ISBN 13: 9783319385877
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains how to generate an adequate description of uncertaintyShows how to justify semi-heuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficientIncludes various examples and real-life.
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