Applied Research in Uncertainty Modeling and Analysis

Author:   Bilal M. Ayyub
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2005
Volume:   20
ISBN:  

9781441936356


Pages:   545
Publication Date:   06 December 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Applied Research in Uncertainty Modeling and Analysis


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Overview

Uncertainty has been a concern to engineers, managers, and scientists for many years in engineering and sciences. Uncertainty has for a long time been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous and more tools that model uncertainty than statistics have been proposed by several engineers and scientists. The tool/ method to model uncertainty in a specific context should really be choices by considering the features of the phenomenon under consideration not independently of what is known about the system and what causes uncertainty. Applied Research in Uncertainty Modeling Analysis concentrates on general aspects of uncertainty, modeling, and methods, and consists of large numbers of examples on engineering and sciences.

Full Product Details

Author:   Bilal M. Ayyub
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2005
Volume:   20
Dimensions:   Width: 15.50cm , Height: 2.90cm , Length: 23.50cm
Weight:   0.854kg
ISBN:  

9781441936356


ISBN 10:   1441936351
Pages:   545
Publication Date:   06 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Philosophical and Theoretical Bases for Analyzing and Modeling Uncertainty and Ignorance.- A Self-Organizing Neural Network by Dynamic and Spatial Changing Weights.- Simulation of Fuzzy Systems I.- Simulation Of Fuzzy Systems II.- Event-Related Potential Noise Reduction Using the Hidden Markov Tree Model.- Change Detection in Image Sequence Based on Markov Random Field and Mean Field Theory.- Analysis of Multi-Channel Subdural EEG by Recurrent Neural Networks.- Multicriteria Optimization Under Parametric Uncertainty.- Design of Neural Networks for Pavement Rutting.- Neural Networks for Residential Infrastructure Management.- Evacuation Simulation in Underground Mall by Artificial Life Technology.- Epistemic Uncertainty and the Management of High Risk Exposures.- Experiment with a Hierarchical Text Categorization Method on WIPO Patent Collections.- Study of Transportation and Uncertainty.- Multi Agent Systems Approach to Parking Facilities Management.- Modeling Transportation Choice Through Utility-Based Multi-Layer Feedforward Networks.- Heterogeneity in Commuter Departure Time Decision: a Prospect Theoretic Approach.- Importance of Fuzzy Sets Definitions for Fuzzy Signal Controllers.- Reliability Evaluation of Realistic Structures Using FEM.- Simulation in Risk-Based Codified Engineering Design.- System Identification at Local Level under Uncertainty.- Uncertainty Modeling of Chloride Contamination and Corrosion of Concrete Bridges.- Redundancy Analysis of Structural Systems.

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)


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)


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