Demand Forecasting for Rural E-Commerce Logistics: A Gray Prediction Model Based on Weakening Buffer Operator

Table 2

The second-order buffer sequence of rural logistics demand indicators from 2013 to 2017.

No.	X0	X1	X2	X3	X4	X5
1	14024.80	387.06	1301.79	10.99	364730.51	214980.97
2	14293.69	398.84	1295.96	10.96	370684.05	216183.35
3	14568.81	415.99	1288.06	10.92	375884.62	217298.68
4	14862.73	426.63	1280.75	10.88	379769.38	218188.50
5	15158.81	435.10	1267.31	10.80	383560.00	218769.50
6	15462.83	447.56	1246.48	10.67	388697.00	219206.25
7	15779.70	455.49	1208.56	10.43	392381.00	219580.00