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

DOI10.1007/978-3-319-91026-0zbMath1432.93003OpenAlexW2801026247MaRDI QIDQ5234398

Andrew Pownuk, Vladik Ya. Kreinovich

Publication date: 26 September 2019

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://digitalcommons.utep.edu/cgi/viewcontent.cgi?article=1522&context=open_etd

zbMATH Keywords

engineering applicationsinterval, probabilistic, or fuzzy inaccuraciesuncertainty estimating algorithms

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Control/observation systems with incomplete information (93C41) Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02) Identification in stochastic control theory (93E12)

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