Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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Añadir al carrito1. Aufl. xi, 649 S. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 835. Sprache: Englisch.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Springer International Publishing, 2020
ISBN 10: 303031040X ISBN 13: 9783030310400
Librería: moluna, Greven, Alemania
EUR 136,16
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Añadir al carritoGebunden. Condición: New.
Idioma: Inglés
Publicado por Springer International Publishing, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Librería: moluna, Greven, Alemania
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing, 2020
ISBN 10: 303031040X ISBN 13: 9783030310400
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: 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.
Librería: Buchpark, Trebbin, Alemania
EUR 122,89
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Seiten: 664 | Sprache: Englisch | Produktart: Bücher | 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.
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Librería: Revaluation Books, Exeter, Reino Unido
EUR 237,40
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Añadir al carritoPaperback. Condición: Brand New. 660 pages. 9.25x6.10x1.33 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 660 pages. 9.25x6.10x1.44 inches. In Stock.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Feb 2020, 2020
ISBN 10: 303031040X ISBN 13: 9783030310400
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing Aug 2021, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 200,73
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 204,11
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Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Aug 2021, 2021
ISBN 10: 3030310434 ISBN 13: 9783030310431
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 664 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Feb 2020, 2020
ISBN 10: 303031040X ISBN 13: 9783030310400
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 664 pp. Englisch.