(3)Using the grey theory to solve the problems on the settlement prediction, set up unequal interval GM(1,1) model and grey Verhulst model to predict the settlement.
An unequal time interval forecasting model of GM(1,1) is established according to the grey theory in the present paper, which can be modified using the residual error GM(1,1) model.
Through the practical examples of the prediction of a group of buildings, this paper describes how to establish a prediction model using the data colleted on - the - spot according to the grey theory GM(1, 1) model to predict the deformation of a building.
The results are analyzed by employing the grey relation function (ξ) and grey relation grade (R) based on the Grey Theory.
It is an advantage that the methods have gotten rid of discretization error in contrast with the methods of grey theory.
The basic difference non-equal interval model GM(1,1) in grey theory was used to fit and forecast data series with non-equal lengths and different inertias, acquired from oil monitoring of internal combustion engines.
In this paper, we systematically discuss the basic concepts of grey theory, particularly the grey differential equation and its mathematical foundation, which is essentially unknown in the reliability engineering community.
Based on the grey theory and fuzzy mathematics, a new comprehensive evaluation method from qualitative to quantitative, called grey-fuzzy evaluation, was proposed for evaluating eco-environment vulnerability.
The dynamic models were developed by gray theory for estimating the fuels loads of arbor, shrub, herbs, grass, litter, and semi-decomposed litter, inflammable fuel and the total fuels in each forest type.
Application of Grey System Theory to tree growth prediction
The method of developing GM(1,1) model is extended on the basis of grey system theory.
A map shows the geology and distribution of landslides, and the report applies a quantitative method, the Grey system theory, to identify that rock type has more effect on landslides than any other geologic factor.
Application of the grey system theory in deciding climatic regions suitable to introducePanax quinquefolium
Estimation of non-statistical uncertainty in precision measurement using grey system theory
The results are analyzed by employing the grey relation function (ξ) and grey relation grade (R) based on the Grey Theory.
Based on the grey theory and fuzzy mathematics, a new comprehensive evaluation method from qualitative to quantitative, called grey-fuzzy evaluation, was proposed for evaluating eco-environment vulnerability.