Grey Data Analysis
Methods, Models and Applications

Authors: Sifeng Liu, Yingjie Yang, Jeffrey Forrest



Systematically examines the latest advances in grey data analysis

Focuses on thoroughness of the coverage and readability of the content

Emphasis on laying the mathematical foundation, the establishment of axiom systems, and the rigor, preciseness, and accuracy of mathematical reasoning

This book inclusively and systematically presents the fundamental methods, models and techniques of practical application of grey data analysis, bringing together the authors’ many years of theoretical exploration, real-life application, and teaching. It also reflects the majority of recent theoretical and applied advances in the theory achieved by scholars from across the world, providing readers a vivid overall picture of this new theory and its pioneering research activities.

The book includes 12 chapters, covering the introduction to grey systems, a novel framework of grey system theory, grey numbers and their operations, sequence operators and grey data mining, grey incidence analysis models, grey clustering evaluation models, series of GM models, combined grey models, techniques for grey systems forecasting, grey models for decision-making, techniques for grey control, etc. It also includes a software package that allows practitioners to conveniently and practically employ the theory and methods presented in this book. All methods and models presented here were chosen for their practical applicability and have been widely employed in various research works.



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