Research Article

Compound Grey-Logistic Model and Its Application

Table 2

Error of estimation model: APE (MAPE, entropy).

Time (month/year)Grey forecast (%)Logistic forecast (%)Grey-logistic forecast (%)Time (month/year)Grey forecast (%)Logistic forecast (%)Grey-logistic forecast (%)

2/188.416.426.049/1920.9325.1220.75
3/184.473.413.7010/1917.0226.3116.83
4/1810.651.379.9311/1918.1627.4817.96
5/186.460.605.8612/199.4228.619.69
6/182.952.512.451/2010.2029.719.98
7/189.894.3610.252/2056.9430.7957.31
8/1815.316.1515.593/203.6431.843.42
9/184.137.884.384/2012.5832.8612.82
10/186.849.566.645/201.7233.861.92
11/1812.3311.1912.186/204.0134.844.20
12/188.1012.778.027/2016.1135.7916.28
1/1916.4914.3116.468/200.3336.720.45
2/193.8115.803.789/205.0637.634.98
3/198.3717.248.4510/205.5838.525.53
4/1911.1218.6511.0211/205.5539.395.54
5/192.4120.022.5512/2016.5240.2316.48
6/196.7921.346.971/211.0141.060.92
7/197.3322.647.15MAPE10.1721.9710.05
8/1915.5523.9015.38H(π)1.5561.5521.556

(Market share data source: http://xl.16888.com/f/57420/).