Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835) - Tapa dura

Libro 389 de 538: Studies in Computational Intelligence
 
9783030310400: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835)
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ISBN 10: 303031040X ISBN 13: 9783030310400
Editorial: Springer, 2020

Sinopsis

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. 

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De la contraportada

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.

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Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
303031040X
ISBN 13 
9783030310400
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
664
Editor
Kosheleva Olga, Shary Sergey P., Xiang Gang
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
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Alemania

Otras ediciones populares con el mismo título

9783030310431: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835)

Edición Destacada

ISBN 10:  3030310434 ISBN 13:  9783030310431
Editorial: Springer, 2021
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