Applied Research in Uncertainty Modeling and AnalysisAuthor: Nii O. Attoh-Okine, Bilal M. Ayyub Published by Springer US ISBN: 978-0-387-23535-6 DOI: 10.1007/b101807Table 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