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Grey Data Analysis

Methods, Models and Applications

  • 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
  • Includes supplementary material: sn.pub/extras

Part of the book series: Computational Risk Management (Comp. Risk Mgmt)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxix
  2. Introduction to Grey Systems Research

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 1-16
  3. The Grey Systems Theory Framework

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 17-28
  4. Grey Numbers and Their Operations

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 29-43
  5. Sequence Operators and Grey Data Mining

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 45-65
  6. Grey Incidence Analysis Models

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 67-103
  7. Grey Clustering Evaluation Models

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 105-139
  8. Series of GM Models

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 141-181
  9. Combined Grey Models

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 183-207
  10. Techniques for Grey Systems Forecasting

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 209-226
  11. Grey Models for Decision-Making

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 227-255
  12. Grey Control Systems

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 257-283
  13. Introduction to Grey Systems Modeling Software

    • Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 285-299
  14. Back Matter

    Pages 301-333

About this book

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.


I still remember 1983, when I first participated in a course on Grey System Theory. The mimeographed teaching materials had a blue cover and were presented as a book. It was like finding a treasure: This fascinating book really inspired me as a young intellectual going through a period of confusion and lack of academic direction. It shone with pearls of wisdom and offered a beacon in the mist for a man trying to find his way in academic research. This book became the guiding light in my life journey, inspiring me to forge an indissoluble bond with Grey System Theory.


——Sifeng Liu






Authors and Affiliations

  • Institute for Grey Systems Studies, Nanjing Univ of Aeronautics&Astronautics Institute for Grey Systems Studies, Nanjing, China

    Sifeng Liu

  • Centre for Computational Intelligence, De Montfort University Centre for Computational Intelligence, Leicester, United Kingdom

    Yingjie Yang

  • Department of Mathematics, Slippery Rock University Department of Mathematics, PA, USA

    Jeffrey Forrest

About the authors

Professor Sifeng Liu, PhD., SM IEEE, is an Honorary Fellow of the WOSC, and Senior Fellow of the Marie Curie International Incoming Fellowships of the 7th Research Framework Programme of the European Commission. Sifeng Liu received PhD in systems engineering from Huazhong University of Science and Technology, China, in 1998. Dr. Liu is currently a distinguished professor at Nanjing University of Aeronautics and Astronautics, and a research professor at De Montfort University. He is the founding director of the Institute for Grey Systems Studies, the founding chair of TC of IEEE SMC on Grey Systems, and the founding president of the Grey Systems Society of China.


Professor Yingjie Yang is currently a full Professor of Computational Intelligence at the Centre for Computational Intelligence of De Montfort University, Leicester, UK. He received his BSc (Hons.), MSc and PhD degrees in engineering from Northeastern University, Shenyang, China, in 1987, 1990, and1994, respectively. He was awarded his PhD degree in computer science at Loughborough University, Loughborough, UK, in 2008. Before joining De Montfort University in 2002, Dr. Yang had worked at Beijing Jiaotong University, Nottingham Trent University and Loughborough University in connection with various research projects.  


Professor Jeffrey Forrest earned his educational degrees in pure mathematics. His PhD degree was granted in 1988 by Auburn University, Alabama; and he did one year of post-doctoral research in statistics at Carnegie Mellon University, Pittsburgh, from 1990 to 1991. Dr. Forrest is currently a specially appointed professor of economics, finance, and systems science at Nanjing University of Aeronautics and Astronautics, a specially appointed professor of mathematics and systems science at National University of Defense Technology, China, and a tenured professor of mathematics at Slippery Rock University of Pennsylvania. Dr. Forrest is afounder and the current president of the International Institute for General Systems Studies (IIGSS), a non-profit organization registered in PA in the mid-1990s. 


Bibliographic Information

  • Book Title: Grey Data Analysis

  • Book Subtitle: Methods, Models and Applications

  • Authors: Sifeng Liu, Yingjie Yang, Jeffrey Forrest

  • Series Title: Computational Risk Management

  • DOI: https://doi.org/10.1007/978-981-10-1841-1

  • Publisher: Springer Singapore

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: Springer Science+Business Media Singapore 2017

  • Hardcover ISBN: 978-981-10-1840-4Published: 09 September 2016

  • Softcover ISBN: 978-981-10-9458-3Published: 15 June 2018

  • eBook ISBN: 978-981-10-1841-1Published: 01 September 2016

  • Series ISSN: 2191-1436

  • Series E-ISSN: 2191-1444

  • Edition Number: 1

  • Number of Pages: XXIX, 333

  • Number of Illustrations: 40 b/w illustrations, 19 illustrations in colour

  • Topics: Operations Research/Decision Theory, Risk Management

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access