Grey Prediction Methods and Their Applications by Bo Zeng Hardcover Book

Publisher Description

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 and professionals of grey prediction models.

Author Biography

Bo Zeng,  Sichuan Province, China, is a Doctor of Engineering and Professor. He is also a Postdoctoral Fellow of Management, and Doctoral Supervisor. He has been selected as Distinguished Professor in Chongqing Bayu Scholar Scheme  (2017) and Chief Distinguished Professor of Chongqing Technology and Business University (2022). Besides, he has been in the list of top 2% scientists in the world twice (2020, 2022). He is mainly engaged in the research of grey prediction theory and methods and their applications, and specializes in real-time imitation and dynamic simulation of the operation law and development trend of uncertain complex systems through computer software.Zhuanzhuan Shi, Shanxi Province, China, is a Ph.D. in Education and Associate Professor. She has published a dozen of articles and three monographs in the recent years and has hosted or participated in ten municipality-level projects. Grey theory and its application has become one of her research foci during her doctoral study.

Table of Contents

Basic concepts of grey system theory.- Preprocessing of grey data.- Homogeneous exponential sequence grey prediction model.- Inhomogeneous exponential sequence grey prediction model.- Saturated S-shape sequence grey prediction model .- Multivariable grey prediction model.- Special sequence grey prediction model.- Parameter optimization of grey prediction model.- Program implementation of grey prediction model.

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