Research Article

Compound Grey-Logistic Model and Its Application

Table 1

Raw data and forecast data of FAW Volkswagen’s market share.

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

2/185.415.876.245.878/197.426.274.776.28
3/185.685.936.145.899/197.956.294.716.30
4/185.385.956.035.9110/197.606.314.656.32
5/185.615.975.945.9411/197.736.334.596.34
6/185.825.995.845.9612/195.806.354.536.36
7/186.676.015.755.991/207.096.374.486.38
8/187.126.035.666.012/204.076.394.426.40
9/186.316.055.576.033/206.656.414.376.42
10/185.686.075.496.064/205.716.434.326.44
11/185.426.095.416.085/206.346.454.276.46
12/185.656.115.336.106/206.226.474.226.48
1/195.266.135.256.137/205.596.494.176.50
2/196.396.155.186.158/206.496.514.126.52
3/195.696.175.106.179/206.886.534.076.54
4/196.966.195.036.1910/206.946.554.036.56
5/196.066.214.966.2111/206.966.573.986.57
6/195.836.234.906.2412/205.666.603.946.59
7/196.746.254.836.261/216.556.623.906.61