Bilal M. Ayyub 
Applied Research in Uncertainty Modeling and Analysis [PDF ebook] 

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.