Research on generalized non‐equidistance GM(1,1) model based on matrix analysis
Abstract
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.
Keywords
Citation
Xiao, X. and Peng, K. (2011), "Research on generalized non‐equidistance GM(1,1) model based on matrix analysis", Grey Systems: Theory and Application, Vol. 1 No. 1, pp. 87-96. https://doi.org/10.1108/20439371111106759
Publisher
:Emerald Group Publishing Limited
Copyright © 2011, Emerald Group Publishing Limited