Foundations of Reasoning under Uncertainty, Bernadette Bouchon-Meunier; Luis Magdalena; Manuel

Автор: Li
Название: Artificial Intelligence with Uncertainty
ISBN: 1584889985 ISBN-13(EAN): 9781584889984
Издательство: Taylor&Francis
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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: Bernadette Bouchon-Meunier; Luis Magdalena; Manuel
Название: Foundations of Reasoning under Uncertainty
ISBN: 364226235X ISBN-13(EAN): 9783642262357
Издательство: Springer
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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: Claudio Sossai; Gaetano Chemello
Название: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ISBN: 3642029051 ISBN-13(EAN): 9783642029059
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009, held in Verona, Italy, July 1-3, 2009.

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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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; Vladik Kreinovich; Berlin Wu; Gang
Название: Computing Statistics under Interval and Fuzzy Uncertainty
ISBN: 3642445705 ISBN-13(EAN): 9783642445705
Издательство: Springer
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Описание: if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1.