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In this article, we focus on the data fusion rule.
The fusion value of data is calculated using data fusion rule specified in [134].
Moreover, an optimal data fusion rule can help reduce the impact of unreliable CR.
An optimal data fusion rule was firstly considered by Chair and Varshney in [13].
In [12], a joint optimization of the sensing time and data fusion rule is considered.
There are mainly two fusion rules of CSS: data fusion rule and decision fusion rule.
Similar(45)
In addition to the quantitative estimates of class-specific pesticide-likeness, we explored two data fusion rules to provide quantitative estimates of pesticide-likeness.
Several methods of virtual screening based on ligand set have been proposed, such as similarity ensemble approach (SEA) [7], pair-wise similarity (MPS) [21] and other different data fusion [22] rules (e.g. MAX, KNN).
A generalized multislot spectrum sensing paradigm and two types of fusion rules (data fusion and decision fusion) are proposed in [12].
Many data fusion techniques such as median rule, sum rule, max rule, product rule, and majority voting and also feature vector fusion as a source fusion technique have been employed to improve the recognition performance.
After reception of data, FCs perform data fusion with a majority-like fusion rule and send their decisions to an access point (AP), where a final data fusion is carried out and an estimate of the phenomenon is obtained.
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