Risk and Uncertainty Reduction by Using Algebraic Inequalities (PDF)
(Sprache: Englisch)
This book provides the reader with a domain-independent method for reducing risk through maximizing reliability, reducing epistemic uncertainty, reducing aleatory uncertainty, ranking the reliabilities of systems and processes, minimizing the risk of faulty...
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This book provides the reader with a domain-independent method for reducing risk through maximizing reliability, reducing epistemic uncertainty, reducing aleatory uncertainty, ranking the reliabilities of systems and processes, minimizing the risk of faulty assemblies, and ranking decision-making alternatives in the presence of deep uncertainty.
Autoren-Porträt von Michael T. Todinov
Michael T. Todinov, PhD, has a background in mechanical engineering, applied mathematics and computer science. Prof.Todinov pioneered reliability analysis based on the cost of failure, repairable flow networks and networks with disturbed flows, domain-independent methods for reliability improvement and risk reduction and reducing risk and uncertainty by using algebraic inequalities.
Bibliographische Angaben
- Autor: Michael T. Todinov
- 2020, 1. Auflage, 208 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000076407
- ISBN-13: 9781000076400
- Erscheinungsdatum: 02.06.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 12 MB
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Sprache:
Englisch
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