Grey Data Analysis

Methods, Models and Applications

  • Sifeng Liu
  • Yingjie Yang
  • Jeffrey Forrest

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

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 1-16
  3. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 17-28
  4. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 29-43
  5. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 45-65
  6. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 67-103
  7. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 105-139
  8. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 141-181
  9. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 183-207
  10. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 209-226
  11. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 227-255
  12. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 257-283
  13. Sifeng Liu, Yingjie Yang, Jeffrey Forrest
    Pages 285-299
  14. Back Matter
    Pages 301-333

About this book

Introduction

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

Keywords

Grey System General Grey Number Buffer Operator Grey Incidence Analysis Grey Cluster Evaluation Grey Forecasting Grey Decision-making Grey Control

Authors and affiliations

  • Sifeng Liu
    • 1
  • Yingjie Yang
    • 2
  • Jeffrey Forrest
    • 3
  1. 1.Institute for Grey Systems StudiesNanjing Univ of Aeronautics&Astronautics Institute for Grey Systems StudiesNanjingChina
  2. 2.Centre for Computational IntelligenceDe Montfort University Centre for Computational IntelligenceLeicesterUnited Kingdom
  3. 3.Department of MathematicsSlippery Rock University Department of MathematicsPAUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-1841-1
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management
  • Print ISBN 978-981-10-1840-4
  • Online ISBN 978-981-10-1841-1
  • Series Print ISSN 2191-1436
  • Series Online ISSN 2191-1444
  • About this book