An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization

Table 7

The obtained results for ISBEMI Set 1.

Date	The test data	[2]	[4]	[5] distribution-based method	[5] average-based method	[11]	[32]	The proposed method
23.12.2008	26294	26410	26400	26200	26100	26091	26274	26 343
24.12.2008	26055	26410	26400	26200	26367	26091	26273	26 292
25.12.2008	26059	26410	26400	26200	26100	26091	26339	25 983
26.12.2008	26499	26410	26400	26200	26100	26091	26337	26 255
29.12.2008	26424	26410	26400	26200	26500	26608	26565	26 513
30.12.2008	26411	26410	26400	26200	26500	26608	26429	26 192
31.12.2008	26864	26410	26400	26200	26500	26091	26460	26 513
RMSE		261.0109	259.7625	310.4688	251.2390	354.7194	219.2734	207.91
MAPE		0.0075	0.0075	0.0096	0,0080	0.0098	0.0067	0.0067
DA		0.6667	0.6667	0.8333	0.5000	0.5000	0.6667	0.6667