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Item Details
Title: IRREGULARITIES AND PREDICTION OF MAJOR DISASTERS
By: Yi Lin, Shoucheng OuYang
Format: Hardback

List price: £145.00
Our price: £130.50
Discount:
10% off
You save: £14.50
ISBN 10: 1420087452
ISBN 13: 9781420087451
Availability: Usually dispatched within 1-3 weeks.
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Stock: Currently 0 available
Publisher: TAYLOR & FRANCIS LTD
Pub. date: 18 March, 2010
Series: Systems Evaluation, Prediction, and Decision-Making
Pages: 627
Description: Presenting a series of fresh understandings, theories, and a new system of methodology, this title simplifies the world-class problem of prediction into a series of tasks that can be learned, mastered, and applied in the analysis and prediction of forthcoming changes in materials or fluids.
Synopsis: Although scientists have effectively employed the concepts of probability to address the complex problem of prediction, modern science still falls short in establishing true predictions with meaningful lead times of zero-probability major disasters. The recent earthquakes in Haiti, Chile, and China are tragic reminders of the critical need for improved methods of predicting natural disasters. Drawing on their vast practical experience and theoretical studies, Dr. Yi Lin and Professor Shoucheng OuYang examine some of the problems that exist in the modern system of science to provide the understanding required to improve our ability to forecast and prepare for such events. Presenting a series of new understandings, theories, and a new system of methodology, Irregularities and Prediction of Major Disasters simplifies the world-class problem of prediction into a series of tasks that can be learned, mastered, and applied in the analysis and prediction of forthcoming changes in materials or fluids. These internationally respected authors introduce their novel method of digitization for dealing with irregular information, proven effective for predicting transitional changes in events.They also: * Unveil a new methodology for forecasting zero-probability natural disasters * Highlight the reasons for common forecasting failures * Propose a method for resolving the mystery of nonlinearity * Include numerous real-life case studies that illustrate how to properly digitize available information * Supply proven methods for forecasting small-probability natural disasters This authoritative resource provides a systematic discussion of the non-evolutionality of the modern system of science-analyzing its capabilities and limitations. By touching on the need for change in some of the fundamentals in basic scientific theories and relevant methodologies, this book provides the scientific community with the understanding and methodology required to forecast zero-probability major disasters with greatly improved accuracy.
Illustrations: 228 black & white illustrations, 3 black & white tables
Publication: UK
Imprint: Auerbach Publishers Inc.
Returns: Returnable
Some other items by this author:
BEYOND NONSTRUCTURAL QUANTITATIVE ANALYSIS: BLOWN-UPS, SPINNING CURRENTS AND MODERN SCIENCE (HB)
EQUIVARIANT SYMPLECTIC HODGE THEORY AND STRONG LEFSCHETZ MANIFOLDS (PB)
GENERAL SYSTEMS THEORY (PB)
GREY GAME THEORY AND ITS APPLICATIONS IN ECONOMIC DECISION-MAKING (HB)
GREY INFORMATION (HB)
GREY INFORMATION (PB)
HYBRID ROUGH SETS AND APPLICATIONS IN UNCERTAIN DECISION-MAKING
HYBRID ROUGH SETS AND APPLICATIONS IN UNCERTAIN DECISION-MAKING (HB)
IRREGULARITIES AND PREDICTION OF MAJOR DISASTERS
IRREGULARITIES AND PREDICTION OF MAJOR DISASTERS
MATH PHYSICS FOUNDATION OF ADVANCED REMOTE SENSING DIGITAL IMAGE PROCESSING (HB)
SYSTEMIC STRUCTURE BEHIND HUMAN ORGANIZATIONS (HB)
SYSTEMIC STRUCTURE BEHIND HUMAN ORGANIZATIONS (PB)
SYSTEMIC YOYOS
SYSTEMIC YOYOS (HB)
SYSTEMS SCIENCE
SYSTEMS SCIENCE
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UNCERTAIN FUZZY PREFERENCE RELATIONS AND THEIR APPLICATIONS (HB)
UNCERTAIN FUZZY PREFERENCE RELATIONS AND THEIR APPLICATIONS (PB)

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