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

Table 1

The original experimental data (FTN: actual flight target number).

	FTN	nCTR	SPEE	SSEE	CRR	ERR	LRR	CSR	TRF
1st	3	0.0003	2.1000	36.0000	1.0000	0.0003	0.0004	1.0000	1.0000
2nd	3	0.0003	0.8800	21.3000	1.0000	0.0003	0.0004	1.0000	1.0000
3rd	3	0.0003	1.2000	40.0000	1.0000	0.0003	0.0004	1.0000	1.0000
4th	4	0.0003	0.9300	18.6000	1.0000	0.0003	0.0004	1.0000	1.0000
5th	4	0.0003	0.7800	25.0000	1.0000	0.0003	0.0004	1.0000	1.0000
6th	5	0.0003	1.4000	40.5000	0.8300	0.0003	0.1700	1.0000	1.2000
7th	8	0.1700	1.8000	22.0000	0.7500	0.0003	0.2500	1.0000	1.1300
8th	9	0.0003	1.4000	17.0000	0.6700	0.2200	0.3300	0.7800	1.0000
9th	11	0.2200	1.5600	29.0000	0.7800	0.2200	0.2200	0.7800	1.0000
10th	13	0.1820	2.2000	33.5000	0.7200	0.0900	0.2800	0.9100	0.8460