Overview
- Provides broad coverage of uncertainty analysis/modeling and its application
- Presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise
- Focusing explicitly on theory, this work uses real-world examples to demonstrate the strength of the chosen methodology
Part of the book series: International Series in Intelligent Technologies (ISIT, volume 20)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (23 chapters)
Keywords
About this book
Reviews
From the reviews of the first edition:
"This book presents a collection of interesting articles in the general framework of uncertainty modeling and analysis. The tools used come from various disciplines including statistics and operations research. … an operations research instructor may consider Applied Research in Uncertainty Modeling and Analysis favorably as a good source book … ." (Sailes K. Sengupta, Technometrics, Vol. 48 (4), 2006)
Editors and Affiliations
Bibliographic Information
Book Title: Applied Research in Uncertainty Modeling and Analysis
Editors: Nii O. Attoh-Okine, Bilal M. Ayyub
Series Title: International Series in Intelligent Technologies
DOI: https://doi.org/10.1007/b101807
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-23535-6Published: 15 December 2004
Softcover ISBN: 978-1-4419-3635-6Published: 06 December 2010
eBook ISBN: 978-0-387-23550-9Published: 29 December 2007
Series ISSN: 1382-3434
Edition Number: 1
Number of Pages: XVI, 545
Topics: Operations Research/Decision Theory, Economic Theory/Quantitative Economics/Mathematical Methods, Engineering, general