Applied Research in Uncertainty Modeling and Analysis

Nii O. Attoh-Okine, Bilal M. Ayyub - Collection International Series in Intelligent Technologies

546 pages, parution le 17/02/2005

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Résumé

Uncertainty has been a concern to engineers, managers, and scientists for many years. For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty.

In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology.

Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering.

L'auteur - Nii O. Attoh-Okine

University of Delaware, Netwark, Delaware, USA

L'auteur - Bilal M. Ayyub

University of Maryland, College Park, Maryland, USA

Sommaire

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 Tree Markov Model
Change Detection in Image Sequence Based on Markov Random Field and Mean Field Theory
Analysis of Multi-Channel Subdural EEC by Recurrent Neural Networks
Multicriteria Optimization Under Parametric Uncertainty
Design of Neural Networks for Pavement Rutting
Neural Networks for Residential Infrastructure Management
Evaluation 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

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Nii O. Attoh-Okine, Bilal M. Ayyub
Collection	International Series in Intelligent Technologies
Parution	17/02/2005
Nb. de pages	546
Format	16 x 24
Couverture	Relié
Poids	889g
Intérieur	Noir et Blanc
EAN13	9780387235356