Generalized divergence-based decision making method with an application to pattern classification
In decision-making systems, how to address uncertainty plays an important role for the
improvement of system performance in uncertainty reasoning. Dempster–Shafer evidence …
improvement of system performance in uncertainty reasoning. Dempster–Shafer evidence …
[HTML][HTML] Visibility graph for time series prediction and image classification: a review
The analysis of time series and images is significant across different fields due to their
widespread applications. In the past few decades, many approaches have been developed …
widespread applications. In the past few decades, many approaches have been developed …
A complex weighted discounting multisource information fusion with its application in pattern classification
Complex evidence theory (CET) is an effective method for uncertainty reasoning in
knowledge-based systems with good interpretability that has recently attracted much …
knowledge-based systems with good interpretability that has recently attracted much …
A generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis
C Zhu, F Xiao, Z Cao - Information Sciences, 2022 - Elsevier
The application of multisource information fusion in real-world scenarios is an emerging
practice because it effectively uses consistent and complementary data to optimize decision …
practice because it effectively uses consistent and complementary data to optimize decision …
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 …
The distance of random permutation set
Abstract The Random Permutation Set (RPS) is a newly proposed type of set. An RPS takes
the permutation of a certain set into consideration and can be regarded as a generalization …
the permutation of a certain set into consideration and can be regarded as a generalization …
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 …
Identification of influential nodes in complex networks: A local degree dimension approach
The importance of researches on complex networks is becoming more and more prominent.
How to identify influential nodes is still an urgent and crucial issue of many researches on …
How to identify influential nodes is still an urgent and crucial issue of many researches on …
A TFN-based uncertainty modeling method in complex evidence theory for decision making
S Zhang, F Xiao - Information Sciences, 2023 - Elsevier
Complex evidence theory, as a generation model of the Dempster-Shafer evidence theory,
has the ability to express uncertainty and perform uncertainty reasoning. One of the key …
has the ability to express uncertainty and perform uncertainty reasoning. One of the key …
Permutation Jensen–Shannon divergence for random permutation set
Abstract Random Permutation Set (RPS) considers the permutation of elements for a certain
set, which is an efficient tool for dealing with uncertainty with ordered information. An …
set, which is an efficient tool for dealing with uncertainty with ordered information. An …