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Decision level fusion.
Decision level fusion means to observe the same objective through different types of sensors.
On the other hand, the late fusion approach operates at the decision level [37].
Liou and Wang (1992) also produced different rankings according to the decision level.
On the other hand, AND rule decision level fusion achieved the best results with EER = 6.81 %.
This fusion is performed at two different levels, namely feature level and decision level.
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Figure 4 shows the block diagram of decision-level fusion.
Decision Quality assessment scores can also aid decision-level fusion.
Fig. 4 Block diagram of decision-level fusion.
Decision-level fusion uses outputs of different classifiers to construct the final decision [16].
Finally, the fourth strategy for fusion is known as decision-level fusion.
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