Negation of the quantum mass function for multisource quantum information fusion with its application to pattern classification

F Xiao, W Pedrycz - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
In artificial intelligence systems, a question on how to express the uncertainty in knowledge
remains an open issue. The negation scheme provides a new perspective to solve this …

Generalized divergence-based decision making method with an application to pattern classification

F Xiao, J Wen, W Pedrycz - IEEE transactions on knowledge …, 2022 - ieeexplore.ieee.org
In decision-making systems, how to address uncertainty plays an important role for the
improvement of system performance in uncertainty reasoning. Dempster–Shafer evidence …

Generalized quantum evidence theory

F Xiao - Applied Intelligence, 2023 - Springer
With the development of quantum decision making, how to bridge classical theory with
quantum framework has gained much attention in past few years. Recently, a complex …

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 …

A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment

H Li, M Yazdi, HZ Huang, CG Huang, W Peng… - Complex & Intelligent …, 2023 - Springer
Healthcare tends to be one of the most complicated sectors, and hospitals exist at the core of
healthcare activities. One of the most significant elements in hospitals is service quality level …

Quantum X-entropy in generalized quantum evidence theory

F Xiao - Information Sciences, 2023 - Elsevier
Generalized quantum evidence theory (GQET) is effective for uncertainty reasoning from the
view of the quantum framework in an open world. However, how to construct the quantum …

A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion

W Fan, F Xiao - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Multi-source information fusion has attracted considerable attention in the few past years
and plays a great role in real applications. However, the uncertainty or conflict will make the …

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 …

A novel belief χ 2 χ^2 divergence for multisource information fusion and its application in pattern classification

L Zhang, F Xiao - International Journal of Intelligent Systems, 2022 - Wiley Online Library
Abstract Dempster–Shafer (D‐S) evidence theory is invaluable in the domain of multisource
information fusion for handing uncertainty problems. However, there may be counter …

A belief Hellinger distance for D–S evidence theory and its application in pattern recognition

C Zhu, F Xiao - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly,
owing to its advantage of effectively handling uncertainty problems in multisource …