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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Detaylı Bibliyografya
Asıl Yazarlar: Pownuk, Andrew (Yazar), Kreinovich, Vladik (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Computational Intelligence, 773
Konular:
Computational intelligence.
Engineering mathematics.
Computational Intelligence.
Engineering Mathematics.
Online Erişim:Full-text access

Internet

Full-text access

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