Uncertainty in Risk Assessment

This book provides essential insights into uncertainty in risk assessment, focusing on practical applications in high-stakes technologies and engineering.

The book Uncertainty in Risk Assessment delves into the intricate methods for representing and addressing uncertainty in risk assessment, particularly in high-stakes environments such as nuclear energy, oil and gas, and transportation. It provides valuable insights into practical decision-making scenarios, emphasizing the importance of understanding and managing risks associated with advanced technologies. The theories and methodologies explored in this work extend across various fields, including engineering, medicine, environmental science, security, and financial risk management, with a strong emphasis on engineering applications.

Readers of Uncertainty in Risk Assessment will find that it caters to a diverse audience, including researchers and graduate students engaged in risk analysis, statistics, engineering, and the physical sciences. Although a foundational understanding of risk assessment principles and basic probability theory is beneficial, the book is accessible to a wide range of professionals. It highlights the necessity of looking beyond conventional probability to accurately represent uncertainties in risk assessment contexts.

The text outlines when to apply probability and when to consider alternative methods for representing uncertainty. It presents straightforward explanations, supported by numerical examples, of different types of probabilities and the fundamentals of possibility and evidence theory. Through practical examples, Uncertainty in Risk Assessment effectively illustrates key concepts, making it a valuable resource for those looking to enhance their understanding of uncertainty in risk assessment.