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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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | Studies in Computational Intelligence,
773 |
| Subjects: | |
| Online Access: | Full-text access View in OPAC |