Computing Statistics under Interval and Fuzzy Uncertainty, Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang

Автор: Bernadette Bouchon-Meunier; Luis Magdalena; Manuel
Название: Foundations of Reasoning under Uncertainty
ISBN: 364226235X ISBN-13(EAN): 9783642262357
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Malaga, Spain. The conference brought together some of the world`s leading experts in the study of uncertainty.

Автор: Bernadette Bouchon-Meunier; Luis Magdalena; Manuel
Название: Foundations of Reasoning under Uncertainty
ISBN: 3642107265 ISBN-13(EAN): 9783642107269
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Malaga, Spain. The conference brought together some of the world`s leading experts in the study of uncertainty.

Автор: Marco A. C. Pacheco; Marley M. B. R. Vellasco
Название: Intelligent Systems in Oil Field Development under Uncertainty
ISBN: 3642100961 ISBN-13(EAN): 9783642100963
Издательство: Springer
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Цена: 23508.00 р.
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Описание: The decision to invest in oil field development is an extremely complex problem. This book is a result of about four years of research in this area. It presents applications of intelligent decision support systems to oil field development under uncertainty.

Автор: Hung T. Nguyen; Berlin Wu
Название: Fundamentals of Statistics with Fuzzy Data
ISBN: 364206857X ISBN-13(EAN): 9783642068577
Издательство: Springer
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Цена: 20962.00 р.
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Автор: Atanu Sengupta; Tapan Kumar Pal
Название: Fuzzy Preference Ordering of Interval Numbers in Decision Problems
ISBN: 3642100600 ISBN-13(EAN): 9783642100604
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This text studies different real decision situations where problems are defined in inexact environment. It presents the latest research in fuzzy preference ordering of interval numbers and modeling of interval decision problems.

Автор: Li
Название: Artificial Intelligence with Uncertainty
ISBN: 1584889985 ISBN-13(EAN): 9781584889984
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy.

Автор: Asli Celikyilmaz; I. Burhan T?rksen
Название: Modeling Uncertainty with Fuzzy Logic
ISBN: 3642100635 ISBN-13(EAN): 9783642100635
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.