Research Article

Compound Grey-Logistic Model and Its Application

Table 8

Forecasting results of different models.

Time (month/year)Actual data (%)Grey forecast (%)Logistic forecast (%)Grey-logistic forecast (%)AR(1) forecast (%)ARMA (1, 1) forecast (%)

1/186.99
2/185.415.876.245.877.896.46
3/185.685.936.145.897.536.37
4/185.385.956.035.917.596.32
5/185.615.975.945.947.526.30
6/185.825.995.845.967.576.29
7/186.676.015.755.997.626.28
8/187.126.035.666.017.816.28
9/186.316.055.576.037.926.27
10/185.686.075.496.067.736.27
11/185.426.095.416.087.596.27
12/185.656.115.336.107.536.27
1/195.266.135.256.137.586.27
2/196.396.155.186.157.496.27
3/195.696.175.106.177.756.27
4/196.966.195.036.197.596.27
5/196.066.214.966.217.886.27
6/195.836.234.906.247.686.27
7/196.746.254.836.267.626.27
8/197.426.274.776.287.836.27
9/197.956.294.716.307.986.27
10/197.606.314.656.328.106.27
11/197.736.334.596.348.036.27
12/195.806.354.536.368.056.27
1/207.096.374.486.387.626.27
2/204.076.394.426.407.916.27
3/206.656.414.376.427.226.27
4/205.716.434.326.447.816.27
5/206.346.454.276.467.606.27
6/206.226.474.226.487.746.27
7/205.596.494.176.507.716.27
8/206.496.514.126.527.576.27
9/206.886.534.076.547.776.27
10/206.946.554.036.567.866.27
11/206.966.573.986.577.886.27
12/205.666.603.946.597.886.27
1/216.556.623.906.617.586.27
Mean6.286.264.896.267.726.28
Std. deviation0.800.210.690.220.190.03