A Comprehensive Decision-Making Approach Based on Hierarchical Attribute Model for Information Fusion Algorithms’ Performance Evaluation

Table 2

Comparison of the objective weights determined by entropy method, standard deviation method, and CRITIC.

	Entropy method		Standard deviation method		CRITIC
	nCTR	0.9382	0.1264	0.4575	0.2180	0.4575	3.6703	0.2132
SPEE	1.0792	0.1239	0.2129	0.1015	0.2129	3.5223	0.0952
SSEE	1.0859	0.1238	0.1973	0.0940	0.1973	6.6693	0.1671
CRR	1.1018	0.1235	0.1307	0.0623	0.1307	2.9912	0.0496
ERR	0.9388	0.1264	0.4573	0.2179	0.4573	3.6493	0.2119
LRR	0.7799	0.1292	0.4992	0.2379	0.4992	2.8757	0.1823
CSR	1.1052	0.1235	0.0876	0.0418	0.0876	4.4341	0.0493
TRF	1.1064	0.1234	0.0560	0.0267	0.0560	4.4237	0.0315