Research on Food Security Risk Assessment and Early Warning in China Based on BP Neural Network Model

Table 3

Subjective weights of early warning indicators based on AHP method.

A: Target layer	B:Criterion layer	B’s weight	C:Program layer	C’s weight	Early warning indicator weight
Composite food security index	B1	0.565	C1	0.5650	0.31923
			C2	0.2622	0.148144
			C3	0.1175	0.06639
			C4	0.0553	0.031236
	B2	0.1175	C5	0.6370	0.074848
			C6	0.2583	0.03035
			C7	0.1047	0.012302
	B3	0.2622	C8	0.5281	0.138468
			C9	0.2100	0.055062
			C10	0.2100	0.055062
			C11	0.0519	0.013608
	B4	0.0553	C12	0.8333	0.046081
			C13	0.1667	0.009219