Based on the authors' first-hand experiences, Uncertainty Modeling and Analysis in Engineering and the Sciences serves as a single-source reference and text on the theory, background, and history of the subject. This book provides guidance on the use of uncertainty modeling and analysis methods by presenting the historical, theoretical, and philosophical bases behind suggested methods. It offers critical reviews, advantages, disadvantages, and limitations of the methods discussed. Presenting broad and comprehensive coverage of the subject, the text also includes numerous case studies, examples, problems, figures, and tables as well as an extensive reference list.

Systems, knowledge, and ignorance. Encoding data and expressing information. Uncertainty and information synthesis. Uncertainty measures. Uncertainty-based principles and knowledge construction. Uncertainty propagation for systems. Expert opinions and elicitation methods. Visualization of uncertainty. Historical Perspectives on Knowledge.