Risk Modeling, Assessment, And Management, Fourth Edition

To satisfy readers with different degrees of interest in the quantitative and empirical dimensions of risk assessment and management versus the more qualitative and normative aspects of decision making under risk and uncertainty, he divides the book into separate parts, the first focusing on more philosophical, conceptual, and decision making aspects of risk analysis and the second exploring the theory and ensuring methodology that define state-of-the-art risk analysis. His topics include identifying risk through hierarchical holographic modeling and its derivatives, defining uncertainty and sensitivity analysis, principles and guidelines for project risk management, and the inoperability input-output model and its derivatives for interdependent infrastructure sectors. Annotation c2015 Ringgold, Inc., Portland, OR (protoview.com)

Yacov Y. Haimes, PhD., is the Lawrence R. Quarles Professor at the School of Engineering and Applied Science, University of Virginia, Charlottesville, and is a member of the Systems and Information Engineering faculty. He is the Founding Director (1987) of the university-wide Center for Risk Management of Engineering Systems. On the faculty of Case Western Reserve University, Cleveland, for 17 years, he was the Chair of the Systems Engineering Department, and Director of the Center for Large-Scale Systems and Policy Analysis.