The book covers up-to-date theoretical and applied advances in grey systems theory from across the world and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models and methods in the book are original by the authors, including simplified form of grey number, general grey number and the operations of grey numbers; the axiomatic system of buffer operators and a series of weakening and strengthening operators; a series of grey relational analysis models, including grey absolute, relative, synthetic, similarity,...

This book aims to present an overview of grey system models for time series modelling and forecasting. It is about modelling and forecasting time series with ordinary differential equations, especially when the available samples are extremely limited. Grey system models (GSM) develop sequence operators to nonparametrically identify the underlying dynamics from the limited observations. This book concerns about two important modelling themes, small sample and poor information. The former focuses on the mechanism and methodology of GSMs for small-sample real-number time series, and the...

This book introduces the grey prediction model methodology and its applications as a professional book. It involves the key concepts, data characteristics of modelling objects and the latest research achievements in grey system. The grey prediction models for homogeneous and non-homogeneous exponential sequences, saturated S-shaped sequences and special sequences have been introduced.  This book combines the classical models and the latest models, case studies and model applications, modelling methods, and MATLAB programs in grey system. It is a guidebook for both new learners...

This book illustrates the application of grey systems theory to management science research, by developing selection procedures for grey analytical methods suitable for forecasting, decision-making, and analysing variable relationships. Highlights the similarity between grey system theory and other uncertainty modelling methods, introducing demarcation criteria between grey system theory, fuzzy logic, and statistical approaches. The book leverages the concept of a "grey space" to move beyond the intuitive understanding of grey, presenting a logical and mathematical model of the concept....