Risk and Uncertainty Reduction By Using Algebraic Inequalities

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.

Info autore

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Michael T. Todinov, Todinov Michael T., Michael T. (Professor Todinov
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 07.10.2024
• Categoria: Scienze sociali, diritto, economia > Economia > Singoli rami economici, branche; Scienze naturali, medicina, informatica, tecnica > Matematica > Analisi
• EAN: 9780367504014
• ISBN: 978-0-367-50401-4
• Numero di pagine: 190
• Categorie: TECHNOLOGY & ENGINEERING / Quality Control, TECHNOLOGY & ENGINEERING / Industrial Engineering, Industrial quality control, Stochastic Processes, Probabilistic modeling, Uncertainty Quantification, system reliability analysis, engineering risk assessment, mathematical optimization methods, advanced reliability engineering techniques