Online from: 2011
Subject Area: Information and Knowledge Management
|Title:||Research on generalized non-equidistance GM(1,1) model based on matrix analysis|
|Author(s):||Xinping Xiao, (School of Science, Wuhan University of Technology, Wuhan, People's Republic of China), Kunkun Peng, (School of Science, Wuhan University of Technology, Wuhan, People's Republic of China)|
|Citation:||Xinping Xiao, Kunkun Peng, (2011) "Research on generalized non-equidistance GM(1,1) model based on matrix analysis", Grey Systems: Theory and Application, Vol. 1 Iss: 1, pp.87 - 96|
|Keywords:||Iterative methods, Modelling, Systems theory|
|Article type:||Research paper|
|DOI:||10.1108/20439371111106759 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Acknowledgements:||This work was supported by National Natural Science Foundation of China (70971103) and specialized research fund for the Doctoral Program of Higher Education (200804970005).|
Purpose – The purpose of this paper is to establish a new model for non-equidistance sequence and research affine properties of the new model.
Design/methodology/approach – Generalized non-equidistance GM(1,1) model is put forward based on generalized accumulated generating operation (AGO) theory, and particle swarm optimization is used to solve the parameters of the new model, then affine properties of the new model are researched based on matrix analysis.
Findings – The results are convincing: the simulation and prediction precisions of generalized non-equidistance GM(1,1) model are raised greatly, and it is proved that the affine transformation sequence has the same simulative accuracy with the raw sequence for generalized non-equidistance GM(1,1) model.
Practical implications – The method exposed in the paper can be used to model and predict for non-equidistance sequence in the practical problem.
Originality/value – The paper succeeds in establishing a new non-equidistance grey model and obtaining the affine properties of generalized non-equidistance GM(1,1) model.
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