EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …
with the environment. Recent advancements in technology and machine learning algorithms …
Diversity and suitability of the state-of-the-art wearable and wireless EEG systems review
Wireless electroencephalography (EEG) systems have been attracting increasing attention
in recent times. Both the number of articles discussing wireless EEG and their proportion …
in recent times. Both the number of articles discussing wireless EEG and their proportion …
Information volume of mass function
Y Deng - International Journal of Computers Communications & …, 2020 - univagora.ro
Given a probability distribution, its corresponding information volume is Shannon entropy.
However, how to determine the information volume of a given mass function is still an open …
However, how to determine the information volume of a given mass function is still an open …
A distance measure for intuitionistic fuzzy sets and its application to pattern classification problems
F Xiao - IEEE Transactions on Systems, Man, and Cybernetics …, 2019 - ieeexplore.ieee.org
As a generation of fuzzy sets, intuitionistic fuzzy sets (IFSs) have a more powerful ability to
represent and address the uncertainty of information. Therefore, IFSs have been used in …
represent and address the uncertainty of information. Therefore, IFSs have been used in …
Generalization of Dempster–Shafer theory: A complex mass function
F Xiao - Applied Intelligence, 2020 - Springer
Dempster–Shafer evidence theory has been widely used in various fields of applications,
because of the flexibility and effectiveness in modeling uncertainties without prior …
because of the flexibility and effectiveness in modeling uncertainties without prior …
Information volume of fuzzy membership function
Fuzzy membership function plays an important role in fuzzy set theory. However, how to
measure the information volume of fuzzy membership function is still an open issue. The …
measure the information volume of fuzzy membership function is still an open issue. The …
Combining time-series evidence: A complex network model based on a visibility graph and belief entropy
X Song, F Xiao - Applied Intelligence, 2022 - Springer
Combining basic probability assignments (BPAs) with time series is common in real-life
cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …
cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …
Higher order fractal belief Rényi divergence with its applications in pattern classification
Information can be quantified and expressed by uncertainty, and improving the decision
level of uncertain information is vital in modeling and processing uncertain information …
level of uncertain information is vital in modeling and processing uncertain information …
A novel conflict measurement in decision-making and its application in fault diagnosis
Dempster-Shafer evidence (DSE) theory, which allows combining pieces of evidence from
different data sources to derive a degree of belief function that is a type of fuzzy measure, is …
different data sources to derive a degree of belief function that is a type of fuzzy measure, is …
A new complex evidence theory
L Pan, Y Deng - Information Sciences, 2022 - Elsevier
Dempster-Shafer evidence theory is widely used in the field of information fusion since it
satisfies weaker conditions than probability theory. Nevertheless, the description space of …
satisfies weaker conditions than probability theory. Nevertheless, the description space of …