Overview
- 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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About this book
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
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Keywords
Table of contents (12 chapters)
Authors and Affiliations
About the authors
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