2010•Systems Engineering - Theory & PracticeRequires access

Non-equidistant step by step optimum new information GM(1,1) and its application

Youxin Luo

Open publisher page 14 citations

Abstract

Applying modeling method of grey system and new information principle, in the basis of the grey modeling thought, non-equidistant step by step optimum new information GM(1,1) model was put forward, which was directly modeled according to original data, whose parameters were estimated by optimizing derivative's adjusting coefficients whiting values & background values coefficient and the nth component was taken as the initialization. The model breaks the restricted zone of using GM(1,1) when the absolute value of the development coefficient is quite big, which can be used in non-equal interval & equal interval time series and improve the modeling precision. Examples validate the practicability and reliability of the proposed model.

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What this paper is about

Applying modeling method of grey system and new information principle, in the basis of the grey modeling thought, non-equidistant step by step optimum new information GM(1,1) model was put forward, which was directly modeled according to original data, whose parameters were estimated by optimizing derivative's adjusting coefficients whiting values & background values coefficient and the nth component was taken as the initialization. The model breaks the restricted zone of using GM(1,1) when the absolute value of the development coefficient is quite big, which can be used in non-equal interval & equal interval time series and improve the modeling precision. Examples validate the practicability and reliability of the proposed model.

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Available abstract

Applying modeling method of grey system and new information principle, in the basis of the grey modeling thought, non-equidistant step by step optimum new information GM(1,1) model was put forward, which was directly modeled according to original data, whose parameters were estimated by optimizing derivative's adjusting coefficients whiting values & background values coefficient and the nth component was taken as the initialization. The model breaks the restricted zone of using GM(1,1) when the absolute value of the development coefficient is quite big, which can be used in non-equal interval & equal interval time series and improve the modeling precision. Examples validate the practicability and reliability of the proposed model.

Key concepts: Equidistant, Initialization, Interval (graph theory), Basis (linear algebra), Mathematics, Series (stratigraphy), Reliability (semiconductor), Applied mathematics

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