Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications

Language: English

Published by Springer, 2020

303031040X / 9783030310400

Series: Book 389 of 538 - Studies in Computational Intelligence

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

Seller Inventory # 9783030310400

Title
Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications
Author
Sergey P. Shary
Publisher
Springer
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
303031040X
ISBN 13
9783030310400
Item weight
1,150 grams
Dimensions
241x160x41 mm
Series
Book 389 of 538: Studies in Computational Intelligence

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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