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Recent Advances in Applications of Computational and Fuzzy Mathematics - Hardcover

 
9789811311529: Recent Advances in Applications of Computational and Fuzzy Mathematics

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9789811345777: Recent Advances in Applications of Computational and Fuzzy Mathematics

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ISBN 10:  9811345775 ISBN 13:  9789811345777
Publisher: Springer, 2019
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Chakraverty, Snehashish; Perera, Sanjeewa (Eds.)
ISBN 10: 9811311528 ISBN 13: 9789811311529
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XII, 178 p. Hardcover. Gestempelt/Stamped. Online access with purchase: Springer. Sprache: Englisch. Seller Inventory # 739NB

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Published by Springer, 2018
ISBN 10: 9811311528 ISBN 13: 9789811311529
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Published by Springer, 2018
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Published by Springer, 2018
ISBN 10: 9811311528 ISBN 13: 9789811311529
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Sanjeewa Perera
ISBN 10: 9811311528 ISBN 13: 9789811311529
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the basics of interval/fuzzy set theory, artificial neural networks (ANN) and computational methods. It presents step-by-step modeling for application problems along with simulation and numerical solutions. In general, every science and engineering problem is inherently biased by uncertainty, and there is often a need to model, solve and interpret problems in the world of uncertainty. At the same time, exact information about models and parameters of practical applications is usually not known and precise values do not exist. This book discusses uncertainty in both data and models. It consists of seven chapters covering various aspects of fuzzy uncertainty in application problems, such as shallow water wave equations, static structural problems, robotics, radon diffusion in soil, risk of invasive alien species and air quality quantification. These problems are handled by means of advanced computational and fuzzy theory along with machine intelligence when the uncertainties involved are fuzzy. The proposed computational methods offer new fuzzy computing methods that help other areas of knowledge construction where inexact information is present. 192 pp. Englisch. Seller Inventory # 9789811311529

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Chakraverty, Snehashish|Perera, Sanjeewa
Published by Springer Singapore, 2018
ISBN 10: 9811311528 ISBN 13: 9789811311529
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Models real-life application problems &nbsp Handles uncertainty using fuzzy modeling &nbsp Includes chapters with applied mathematics and example problems &nbsp Presents step-by-step procedures to handle uncer. Seller Inventory # 226213410

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ISBN 10: 9811311528 ISBN 13: 9789811311529
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the basics of interval/fuzzy set theory, artificial neural networks (ANN) and computational methods. It presents step-by-step modeling for application problems along with simulation and numerical solutions. In general, every science and engineering problem is inherently biased by uncertainty, and there is often a need to model, solve and interpret problems in the world of uncertainty. At the same time, exact information about models and parameters of practical applications is usually not known and precise values do not exist. This book discusses uncertainty in both data and models. It consists of seven chapters covering various aspects of fuzzy uncertainty in application problems, such as shallow water wave equations, static structural problems, robotics, radon diffusion in soil, risk of invasive alien species and air quality quantification. These problems are handled by means of advanced computational and fuzzy theory along with machine intelligence when the uncertainties involved are fuzzy. The proposed computational methods offer new fuzzy computing methods that help other areas of knowledge construction where inexact information is present. Seller Inventory # 9789811311529

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Chakraverty, Snehashish (Edited by)/ Perera, Sanjeewa (Edited by)
Published by Springer, 2018
ISBN 10: 9811311528 ISBN 13: 9789811311529
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Hardcover. Condition: Brand New. 192 pages. 9.25x6.10x0.71 inches. In Stock. Seller Inventory # x-9811311528

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