Michael T. Todinov

Risk and Uncertainty Reduction by Using Algebraic Inequalities (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 208
• Erscheinungstermin: 2. Juni 2020
• Englisch
• ISBN-13: 9781000076448
• Artikelnr.: 59562113

Autorenporträt

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.

Inhaltsangabe

1. FUNDAMENTAL CONCEPTS RELATED TO RISK AND UNCERTAINTY REDUCTION BY USING
ALGEBRAIC INEQUALITIES. 2. PROPERTIES OF ALGEBRAIC INEQUALITIES AND
STANDARD ALGEBRAIC INEQUALITIES. 3. BASIC TECHNIQUES FOR PROVING ALGEBRAIC
INEQUALITIES. 4. USING OPTIMISATION METHODS FOR DETERMINING TIGHT UPPER AND
LOWER BOUNDS: TESTING A CONJECTURED INEQUALITY BY A SIMULATION - EXERCISES.
5. RANKING THE RELIABILITIES OF SYSTEMS AND PROCESSES BY USING
INEQUALITIES. 6. USING INEQUALITIES FOR REDUCING EPISTEMIC UNCERTAINTY AND
RANKING DECISION ALTERNATIVES. 7. CREATING A MEANINGFUL INTERPRETATION OF
EXISTING ABSTRACT INEQUALITIES AND LINKING IT TO REAL APPLICATIONS. 8.
OPTIMISATION BY USING INEQUALITIES. 9. DETERMINING TIGHT BOUNDS FOR THE
UNCERTAINTY IN RISK-CRITICAL PARAMETERS AND PROPERTIES BY USING
INEQUALITIES. 10. USING ALGEBRAIC INEQUALITIES TO SUPPORT RISK-CRITICAL
REASONING.