Irregularities and Prediction of Major Disasters

by Yi Lin, Shoucheng OuYang

Overview

This book presents a series of new understandings and a new system of methodology in the area of prediction. It brings readers into the system of evolution science by demonstrating that informational digitization is not only a revolution of scientific methods but also a major reform of theories. Case studies illustrate how to digitize information, simplifying the difficult problem of prediction into a task that can be learned, mastered, and applied. The author also points out why frequent failures occur and why some of the fundamentals in basic scientific theories need to be changed.

Product Details

ISBN-13:	9781420087451
Publisher:	Taylor & Francis
Publication date:	03/18/2010
Series:	Systems Evaluation, Prediction, and Decision-Making Series
Pages:	627
Product dimensions:	6.40(w) x 9.30(h) x 1.50(d)

About the Author

Yi Lin, Ph.D. holds all his educational degrees in pure mathematics and had a 1-year postdoctoral experience in statistics at Carnegie Mellon University. Currently, he is a guest professor of several major universities in China, including the College of Economics and Management at Nanjing University of Aeronautics and Astronautics; a professor of mathematics at Slippery Rock University, Pennsylvania; and the president of the International Institute for General Systems Studies, Inc., Pennsylvania.

Dr. Lin serves on the editorial boards of professional journals, including Kybernetes: The International Journal of Systems and Cybernetics, the Journal of Systems Science and Complexity, the International Journal of General Systems, and others. Dr. Lin’s research has been funded by the United Nations, the State of Pennsylvania, the National Science Foundation of China, and the German National Research Center for Information Architecture and Software Technology. He has published well over 200 research papers and 18 books and special topic volumes. Over the years, Dr. Lin’s scientific achievements have been recognized by various professional organizations and academic publishers. In 2001, he was inducted into the Honorary Fellowship of the World Organization of Systems and Cybernetics. His research interests include mathematical and general systems theory and applications, foundations of mathematics, data analysis, predictions, economics, finance, management science, and philosophy of science.

Shoucheng OuYang, Ph.D. pursued his higher education in the department of Meteorology of Nanjing University. Currently, he is a full professor at Chengdu University of Information Technology, a member of the Chinese Association of Geophysics, the International Institute of General Systems, Inc. (United States), and an invited editor of Emerald Journals (United Kingdom), and serves on the editorial or advisory boards of several

Table of Contents

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.

What People are Saying About This

From the Publisher

"In this book, we will not only reveal the calls of the problems existing in the system of modern science, but we will also provide the methodology and technology for resolving the practical challenge of predicting the unknown future. It is our hope that the publication of this book will reach a greater audience of the scientific community, and that the methodology of forecasting zero-probability natural disasters, as introduced in this book, can be further applied and perfected." —from the Preface

Editorial Reviews

"In this book, we will not only reveal the calls of the problems existing in the system of modern science, but we will also provide the methodology and technology for resolving the practical challenge of predicting the unknown future. It is our hope that the publication of this book will reach a greater audience of the scientific community, and that the methodology of forecasting zero-probability natural disasters, as introduced in this book, can be further applied and perfected." --from the Preface

From the Publisher