Grey system theory uses differential equations to model small sample time series to predict
the short-term development law of things in the future. Since the most classical GM (1, 1) …

To analyse the time lag effects between independent variables and dependent variables, we
propose a discrete time-delay grey multivariable model DMTGM 1, N τ. There are three …

Grey theory is one approach that can be used to construct a model with limited samples to
provide better forecasting advantage for short-term problems. Generally, the GM (1, 1) and …

The grey theory demonstrates the optimal and unique ability of performing fitting predictions
using small data sets and limited information to allow fast, concise, accurate, and effective …

The classical GM (1, 1) model is an efficient tool to {make accurate forecasts} with limited
samples. But the accuracy of the GM (1, 1) model still needs to be improved. This paper …

The nonhomogeneous grey model (NGM) is a novel tool for time series forecasting, which
has attracted considerable interest of research. However, the existing nonhomogeneous …

Prediction of foundation or subgrade settlement is very important during engineering
construction. According to the fact that there are lots of settlement‐time sequences with a …

The grey system is an efficient tool to deal with uncertain problems. The prediction models of
grey system are quite popular and have been utilised in a wide variety of fields. The GMC (1 …

Accurate predictions of CO2 emissions have important practical significance for determining
the best measures for reducing CO2 emissions and accomplishing the target of reaching a …

Particular matter (PM) due to its side effects on human health like increase the risk of lung
cancer and vision impairment has been one of the major concerns for air quality. These …