The Grey System theory requires only a limited amount of data to estimate the behavior of an uncertain system. It has been successfully applied to industrial and social systems as well as economy and traffic management. This book details the latest advances in grey information and systems research. Covering the theoretical foundation, fundamental methods and main topics in grey information and systems research, this book includes all the elementary concepts.

Provides a comprehensive and effective demonstration, centred on problem solving of fundamental concepts of grey systems theory through extensive use of real-life examples Covers all major areas of study of grey systems theory; after basic concepts are introduced, the reader is eased into specific example problems Direct and friendly writing style keeps readers from graduate level and researchers to field practitioners in mind at all times Offers an adaptable self-instructional format and a myriad of motivational scenarios to stimulate reader's interest of learning and deepen understanding A complete list of references will keep the reader in pace with the most recent development in the field Examples of practical applications throughout, show the reader how each idea, concept and theorem have been applied to resolve a real-life problem

Autorentext

Professor Sifeng Liu, Ph.D., a distinguished professor at Northwestern Polytechnical University. He was a professor at NUAA, DMU and HAU respectively. Dr Liu has selected into the long-term project of national major talent programs of China, honorary fellow of WOSC, and senior fellowship of Marie Sk odowska-Curie actions of the EU. He is serving as the founding director of CGSS at NPU, the founding president of IAGSUA, the founding editor of GS, and the editor-in-chief of JGS and two book series on Grey Systems one in English (Springer-Nature) and the other one in Chinese (Science Press). He was the founding director of IGSS at NUAA and the founding president of GSSC. His publications has been cited 51631 times with an H-Index of 95 in Huezhi Scholar and ranking first in the list of the highly cited authors in the field of system science by Baidu Scholar. He has listed in top 2% scientists of the world by Stanford University. On the 7th of September, 2019, then German Chancellor Merkel praised Prof. Liu's work as "profoundly influencing the world". In 2023, Prof. Liu won the Global Excellence Award by GSSP. In 2024, he was selected as one of the top 0.05% Highly Ranked Scholar-Lifetime of the world by Scholar GPS.

Klappentext

Grey Information: Theory and Practical Applications is a crystallization of the authors' work over the last twenty-five years. The book covers the latest advances in grey information and systems research, providing a state-of-the-art overview of this important field.

Covering the theoretical foundation, fundamental methods and main topics in grey information and systems research, this book includes all the elementary concepts: basic principles, grey numbers and their operations, grey equations and matrices, operators of sequences and generations of grey sequences, grey incidence analysis, grey clusters and grey statistical evaluations, grey systems modeling, grey combined models, grey prediction, grey decisions, grey programming, grey input and output and grey controls, etc.

The book will be of interest to advanced students and researchers in a wide range of fields including information and systems sciences and management sciences, and to thoseworking in applied areas such as geo-science, engineering, agriculture, medicine, biosciences and others.

Inhalt
Grey Numbers and Their Operations.- Grey Equations and Grey Matrices.- Generation of Grey Sequences.- Grey Incidence Analysis.- Grey Clusters and Grey Statistical Evaluations.- Grey Systems Modeling.- Grey Combined Models.- Grey Prediction.- Grey Decisions.- Grey Programming.- Grey Input and Output.- Grey Control.