Research Article
A Comprehensive Decision-Making Approach Based on Hierarchical Attribute Model for Information Fusion Algorithms’ Performance Evaluation
Table 3
The evaluation results of the ten experiments.
| | The KLD from to | The KLD from to | The KLD closeness of |
| | 0.0778 | 0.6784 | 0.8971 | | 0.0053 | 0.7194 | 0.9926 | | 0.0604 | 0.6860 | 0.9191 | | 0.0023 | 0.7279 | 0.9968 | | 0.0126 | 0.7171 | 0.9827 | | 1.0208 | 0.4797 | 0.3197 | | 2.1895 | 0.2564 | 0.1048 | | 2.3002 | 0.2836 | 0.1098 | | 3.5374 | 0.0080 | 0.0023 | | 3.3903 | 0.0022 | 0.0007 |
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