Applied Research in Uncertainty Modeling and Analysis - Attoh-Okine, Nii O. / Ayyub, Bilal M. (eds.)
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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…mehr

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Produktbeschreibung
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.
The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes.
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Autorenporträt
Nii O. Attoh-Okine, University of Delaware, Newark, DE, USA / Bilal M. Ayyub, University of Maryland, College Park, MD, USA
Rezensionen
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)