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

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

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 thes...

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Bibliographic Details
Main Authors: Pownuk, Andrew (Author, http://id.loc.gov/vocabulary/relators/aut), Kreinovich, Vladik (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 773
Subjects:
Computational intelligence.
Engineering mathematics.
Computational Intelligence.
Engineering Mathematics.
Online Access:Full Text via HEAL-Link

Internet

Full Text via HEAL-Link

ΒΚΠ - Πατρα: ALFd

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Call Number: 330.01 BAU
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ΒΚΠ - Πατρα: BSC

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Call Number: 330.01 BAU
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