Skip to main content
SpringerLink
Log in

Emerging Studies and Applications of Grey Systems

  • Book
  • © 2023

Overview

Editors:
  1. Yingjie Yang

    1. Faculty of Technology, School of Computer Science, De Montfort University, Leicester, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Sifeng Liu

    1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • A practical guide for applying grey systems in different fields
  • A concise introduction to the basic theory and its relationship with other models
  • A book written by experts from different cultures. The authors come from six different countries

Part of the book series: Series on Grey System (SGS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Development of Grey System Research

    • Sifeng Liu, Yingjie Yang
    Pages 1-17

  3. Basic Models in Grey System Theory

    • Naiming Xie, Baolei Wei
    Pages 19-58

  4. Grey Systems and Uncertainty Modelling

    • Y. Yang, A. S. Khuman, S. Liu
    Pages 59-80

  5. Extending Neuro-fuzzy Techniques with Grey-Based Hybridisation

    • Jose L. Salmeron
    Pages 81-91

  6. The Grey Structure and Evolution of Knowledge Towards a Theory of Grey Knowledge Conception

    • Emil Scarlat
    Pages 93-104

  7. Agent-Based Modelling in Grey Economic Systems

    • Camelia Delcea, Yingjie Yang, Sifeng Liu, Liviu-Adrian Cotfas
    Pages 105-139

  8. Forecasting and Optimization of Short-Term Traffic Flow Dynamics Modeling Based on Grey System Theory

    • Xinping Xiao, Huan Guo, Jinwei Yang
    Pages 141-181

  9. Yellow River Ice Disaster Risk Management Based on Grey Prediction and Decision Method

    • Dang Luo
    Pages 183-219

  10. Millennial Generation: Enthusiastic Versus Stressed Consumers. How Different Is Their Behaviour and Their Opinion on Companies’ Image in Online Social Networks?

    • Camelia Delcea, Ioana-Alexandra Bradea
    Pages 221-244

  11. Grey Models and Its Application in Energy-Economy System

    • Chaoqing Yuan
    Pages 245-295

  12. Selection of the Company’s Strategy Using Grey Stratified Decisions Model

    • RafaÅ‚ Mierzwiak
    Pages 297-312

  13. A Cost Level Analysis for the Components of the Smartphones Using Greyness Based Quality Function Deployment

    • Erdal Aydemir, Yusuf Sahin, Kenan Karagul
    Pages 313-330
Back to top

Keywords

About this book

This book aims to provide a practical guide by a set of real world applications of grey systems to social networks, energy management, transportation, natural disaster management, etc. As an emerging subject on data analysis and uncertainty modelling, the theory of grey systems and its applications have seen significant progress in recent years.  However, researchers are still challenged with difficulties in differentiating grey systems from other similar models and a concise and practical guide for their real world applications. This is especially true for researchers in Europe and North American. This book may provide the answer for that. This book is a result of work within the Leverhulme Trust International Research Network on Grey Systems and its Applications. Readers may regard the book as valuable reference in the related fields.

Editors and Affiliations

  • Faculty of Technology, School of Computer Science, De Montfort University, Leicester, UK

    Yingjie Yang

  • College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Sifeng Liu

About the editors

Prof. Yingjie Yang is currently a full professor in Computational Intelligence at Institute of Artificial Intelligence of DMU, UK. He received two Ph.D. degrees both in engineering from Northeastern University, China, in 1994 and in computer science at Loughborough University, UK, in 2008, respectively. He has coordinated a number of international research projects in related fields supported by EU and UK research funding, and published over 200 papers on grey systems, fuzzy sets, rough sets, neural networks, and their applications. Dr. Yang is the executive president of IAGSUA. He is serving as associate editors in 5 international academic journals, including GS and JGS.

Professor Sifeng Liu, PhD., Distinguished professor of NUAA. Dr. Liu has selected into the long term project of national major talent programs of China, Honorary Fellow of WOSC, and Advanced Fellow of MC Fellowships of the EU. He is serving as the founding director of IGSS at NUAA, the founding president of INGSUA, the founding Editor of GS and the Editor-in-Chief of JGS.  His literatures have been cited more than 40 thousands. He has listed in Top 2% scientists of the world by Stanford University. And ranking first in the list of the highly cited authors in the field of system science, with H index of 91 by Baidu Scholar.


Bibliographic Information

  • Book Title: Emerging Studies and Applications of Grey Systems

  • Editors: Yingjie Yang, Sifeng Liu

  • Series Title: Series on Grey System

  • DOI: https://doi.org/10.1007/978-981-19-3424-7

  • Publisher: Springer Singapore

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-19-3423-0Published: 06 February 2023

  • Softcover ISBN: 978-981-19-3426-1Published: 06 February 2024

  • eBook ISBN: 978-981-19-3424-7Published: 04 February 2023

  • Series ISSN: 2731-4936

  • Series E-ISSN: 2731-4944

  • Edition Number: 1

  • Number of Pages: X, 330

  • Number of Illustrations: 43 b/w illustrations, 62 illustrations in colour

  • Topics: Operations Research/Decision Theory, Operations Management, Applications of Mathematics

Publish with us

Policies and ethics

Back to top

Search

Navigation