A Novel Clustering Model Based on Set Pair Analysis for the Energy Consumption Forecast in China

Table 4

Connection numbers between influence factor and reference set.

Category	𝑘=1	𝑘=2	𝑘=3	𝑘=4
GDP	0.544 + 0.272𝑖 + 0.184𝑗	0.557 + 0.264𝑖 + 0.180𝑗	0.564 + 0.259𝑖 + 0.177𝑗	0.550 + 0.268𝑖 + 0.182𝑗
Proportion of secondary industry	0.497 + 0.302𝑖 + 0.201𝑗	0.508 + 0.295𝑖 + 0.197𝑗	0.504 + 0.298𝑖 + 0.198𝑗	0.508 + 0.295𝑖 + 0.197𝑗
Urbanization level	0.521 + 0.287𝑖 + 0.192𝑗	0.512 + 0.290𝑖 + 0.194𝑗	0.516 + 0.290𝑖 + 0.194𝑗	0.517 + 0.290𝑖 + 0.193𝑗
Price index	0.540 + 0.275𝑖 + 0.185𝑗	0.559 + 0.262𝑖 + 0.179𝑗	0.552 + 0.267𝑖 + 0.181𝑗	0.543 + 0.273𝑖 + 0.184𝑗
Integrated connection number	0.525 + 0.284𝑖 + 0.191𝑗	0.534 + 0.279𝑖 + 0.188𝑗	0.534 + 0.278𝑖 + 0.188𝑗	0.529 + 0.281𝑖 + 0.189𝑗