Grey Information

Theory and Practical Applications

  • Sifeng Liu
  • Yi Lin

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Pages 1-21
  3. Pages 191-243
  4. Pages 245-273
  5. Pages 275-314
  6. Pages 315-366
  7. Pages 367-413
  8. Pages 415-443
  9. Pages 445-470
  10. Back Matter
    Pages 471-508

About this book

Introduction

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 those working in applied areas such as geo-science, engineering, agriculture, medicine, biosciences and others.

Keywords

Decision making Information Input-output analysis Modelling Prediction Programming STATISTICA Unascertained information calculus modeling system modeling

Authors and affiliations

  • Sifeng Liu
    • 1
  • Yi Lin
    • 2
  1. 1.College of Economics and ManagementNanjang University of Aeronautics and AstronauticsNanjingChina
  2. 2.Department of MathematicsSlippery Rock UniversitySlippery RockUSA

Bibliographic information

  • DOI https://doi.org/10.1007/1-84628-342-6
  • Copyright Information Springer-Verlag London Limited 2006
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-85233-995-1
  • Online ISBN 978-1-84628-342-0
  • About this book