… complex-valued Deng entropy may collapse to classical Deng entropy if the complex-valued …
If the complex-valued mass function collapses into the probability distribution in real space, …

… uncertain information of the complex-valued information is a gap … entropy, we propose
the complex-valued Rényi entropy, which measures uncertain information of the complex-valued …

… method is proposed for the complex-valued distribution (CvD) in … propose an entropy measure
for the CvD, called X entropy by … Deng, “Evidential decision tree based on belief entropy,” …

… the entropy of complex-valued error. With this approach, a tightest upper bound for the
complexerror entropy is selected as the estimator of the entropy of complex-valued error. This …

… At last, we apply the proposed new complex Deng entropy to pattern classification. The …
complex Deng entropy has better recognition accuracy than the complexvalued Deng entropy on …

… complex-valued mass functions by measuring the degree of consistency among complex-valued …
similarity measure of real space when complex-valued mass functions collapse to mass …

… entropy [11]. Besides, the uncertainty of a mass function can be calculated based on Deng
entropy [12]… Li, "Complex-valued distribution entropy and its application for seizure detection," …

… However, in a CHFS, there is only one complex-valued truth-… by the complex-valued
truth-membership degree, complex-valued indeterminacy-membership degree, and complex-valued …

… We first propose a processing framework by which a complex-valued CNN (CV-CNN) is used
to … ReLU to its complex-valued version in this letter. We define the complex-valued ReLU (…

… In 2017, a complex-valued convolutional neural network (CV-CNN) was proposed to deal …
However, there is hardly any research on the complexvalued transformer, so in this paper, we …