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Generalized quantum evidence theory
F **ao - 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 …
quantum framework has gained much attention in past few years. Recently, a complex …
Parrondo's paradox reveals counterintuitive wins in biology and decision making in society
Parrondo's paradox refers to the paradoxical phenomenon of combining two losing
strategies in a certain manner to obtain a winning outcome. It has been applied to uncover …
strategies in a certain manner to obtain a winning outcome. It has been applied to uncover …
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 generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis
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 …
Belief re nyi divergence of divergence and its application in time series classification
Time series data contains the amount of information to reflect the development process and
state of a subject. Especially, the complexity is a valuable factor to illustrate the feature of the …
state of a subject. Especially, the complexity is a valuable factor to illustrate the feature of the …
Fractal belief Rényi divergence with its applications in pattern classification
Multisource information fusion is a comprehensive and interdisciplinary subject. Dempster-
Shafer (DS) evidence theory copes with uncertain information effectively. Pattern …
Shafer (DS) evidence theory copes with uncertain information effectively. Pattern …
A novel quantum Dempster's rule of combination for pattern classification
H He, F **ao - Information Sciences, 2024 - Elsevier
Dempster's rule of combination (DRC) is widely used for uncertainty reasoning in intelligent
information system, which is generalized to complex domain recently. However, as the …
information system, which is generalized to complex domain recently. However, as the …
A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion
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 …
and plays a great role in real applications. However, the uncertainty or conflict will make the …
A belief Hellinger distance for D–S evidence theory and its application in pattern recognition
C Zhu, F **ao - 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 …
owing to its advantage of effectively handling uncertainty problems in multisource …
A novel uncertainty modeling method in complex evidence theory for decision making
X Yang, F **ao - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Abstract The Dempster-Shafer (DS) evidence theory, renowned for its efficacy in processing
uncertain information, has garnered substantial attention in recent decades. A generalized …
uncertain information, has garnered substantial attention in recent decades. A generalized …