An Ensemble Learning Method Based on an Evidential Reasoning Rule considering Combination Weighting

Table 2

Ensemble accuracy of the big fish dataset.

	DIE	DIR	IER	MIE	MIR
EW	0.9578	0.9455	0.9565	0.9608	0.9555
COV	0.9578	0.9460	0.9570	0.9608	0.9558
CRITIC	0.9583	0.9460	0.9575	0.9605	0.9558
AHP	0.9640	0.9475	0.9600	0.9595	0.9573
EW + AHP	0.9583	0.9465	0.9570	0.9608	0.9560
COV + AHP	0.9583	0.9468	0.9573	0.9608	0.9560
CRITIC + AHP	0.9583	0.9468	0.9570	0.9608	0.9563
EWAHP	0.9655	0.9470	0.9595	0.9628	0.9573
COVAHP	0.9655	0.9473	0.9605	0.9625	0.9570
CRITICAHP	0.9655	0.9465	0.9605	0.9623	0.9568
EW(+)AHP	0.9605	0.9465	0.9585	0.9605	0.9565
COV(+)AHP	0.9608	0.9468	0.9585	0.9603	0.9565
CRITIC(+)AHP	0.9613	0.9468	0.9585	0.9603	0.9565
EW()AHP	0.9635	0.9468	0.9603	0.9603	0.9578
COV()AHP	0.9635	0.9473	0.9603	0.9598	0.9585
CRITIC()AHP	0.9638	0.9473	0.9603	0.9593	0.9580
EW(rg)AHP	0.9605	0.9465	0.9585	0.9610	0.9565
COV(rg)AHP	0.9605	0.9470	0.9585	0.9605	0.9565
CRITIC(rg)AHP	0.9608	0.9468	0.9585	0.9603	0.9568