Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Da: moluna, Greven, Germania
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Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 664 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as 'small'; this is known as fuzzy uncertainty.In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitablefor graduate students.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Aug 2021, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as 'small'; this is known as fuzzy uncertainty.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 664 pp. Englisch.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 660 pages. 9.25x6.10x1.33 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing Aug 2021, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as 'small'; this is known as fuzzy uncertainty.In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students. 664 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 206,30
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications | Olga Kosheleva (u. a.) | Taschenbuch | xi | Englisch | 2021 | Springer | EAN 9783030310431 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
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