Grey Data Analysis Methods, Models and Applications /

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 theoreti...

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Main Authors: Liu, Sifeng. (Author, http://id.loc.gov/vocabulary/relators/aut), Yang, Yingjie. (http://id.loc.gov/vocabulary/relators/aut), Forrest, Jeffrey. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Computational Risk Management,
Subjects:
Online Access:https://doi.org/10.1007/978-981-10-1841-1
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245 1 0 |a Grey Data Analysis   |h [electronic resource] :  |b Methods, Models and Applications /  |c by Sifeng Liu, Yingjie Yang, Jeffrey Forrest. 
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505 0 |a Foreword -- Preface -- Chapter 1 Introduction to Grey System Theory -- Chapter 2 The Novel Framework of Grey System Theory -- Chapter 3 Grey Numbers and Their Operations -- Chapter 4 Sequence Operators and Grey Data Mining -- Chapter 5 Grey Incidence Analysis Models -- Chapter 6 Grey Cluster Evaluation Models -- Chapter 7 Series of GM Models -- Chapter 8 Combined Grey Models -- Chapter 9 Techniques for Grey System Forecasting -- Chapter 10 Grey Models for Decision-making -- Chapter 11 Techniques Grey Control -- Chapter 12 Introduction to the Software of Grey System Modelling -- References -- Index. 
520 |a 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. 
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