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Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineer...

Description: Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications, Hardcover by Pownuk, Andrew; Kreinovich, Vladik, ISBN 3319910256, ISBN-13 9783319910253, Like New Used, Free shipping in the US

How can we solve engineering problems while taking into account data characterized by different types of measurement and estimation uncertainty: interval, probabilistic, fuzzy, etc.? This book provides a theoretical basis for arriving at such solutions, as well as case studies demonstrating how these theoretical ideas can be translated into practical applications in the geosciences, pavement engineering, etc.

In all these developments, the authors’ objectives were to provide accurate estimates of the resulting uncertainty; to offer solutions that require reasonably short computation times; to offer content that is accessible for engineers; and to be sufficiently general - so that readers can use th for many different problems. The authors also describe how to make decisions under different types of uncertainty.

Th offers a valuable resource for all practical engineers interested in better ways of gauging uncertainty, for students eager to learn and apply the new techniques, and for researchers interested in processing heterogeneous uncertainty.

Price: 126 USD

Location: Jessup, Maryland

End Time: 2025-01-17T03:15:36.000Z

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Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineer...

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Book Title: Combining Interval, Probabilistic, and Other Types of Uncertainty

Number of Pages: Xi, 202 Pages

Publication Name: Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications

Language: English

Publisher: Springer International Publishing A&G

Subject: Engineering (General), Intelligence (Ai) & Semantics, Applied

Publication Year: 2018

Item Weight: 17.4 Oz

Type: Textbook

Item Length: 9.3 in

Subject Area: Mathematics, Computers, Technology & Engineering

Author: Andrew Pownuk, Vladik Kreinovich

Item Width: 6.1 in

Series: Studies in Computational Intelligence Ser.

Format: Hardcover

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