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:
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 n
Introduction. Embryonic Deficits of Quantitative Analysis Systems. Attributes and Problems of Numbers and Their Morphological Transformations. Achievements and Problems of the Dynamic System of Wave Motions. The Circulation Theorem and Generalization of the Mystery of Nonlinearity. Nonlinear Computations and Experiments. Evolution Science. Irregular Information and Regional Digitization. Digital Transformation of Automatically Recorded Information. Afterword. References. Index.