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 …
and plays a great role in real applications. However, the uncertainty or conflict will make the …
On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments
A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
An evidential software risk evaluation model
X Chen, Y Deng - Mathematics, 2022 - mdpi.com
Software risk management is an important factor in ensuring software quality. Therefore,
software risk assessment has become a significant and challenging research area. The aim …
software risk assessment has become a significant and challenging research area. The aim …
Entropy of random permutation set
Recently, a new kind of set, named Random Permutation Set (RPS), has been presented.
RPS takes the permutation of a certain set into consideration, which can be regarded as an …
RPS takes the permutation of a certain set into consideration, which can be regarded as an …
Maximum-entropy-based decision-making trial and evaluation laboratory and its application in emergency management
Decision-making trial and evaluation laboratory (DEMATEL) can visualize the structure of
complex causal relationships, so it is widely used in decision making. One of the important …
complex causal relationships, so it is widely used in decision making. One of the important …
Evidential Markov decision-making model based on belief entropy to predict interference effects
L Pan, X Gao - Information Sciences, 2023 - Elsevier
Some cognitive and decision making experiments have demonstrated the classical decision
theory may be violated. Recently, the interference effects of quantum theory have attracted a …
theory may be violated. Recently, the interference effects of quantum theory have attracted a …
Conjunctive and disjunctive combination rules in random permutation set theory: A layer-2 belief structure perspective
In uncertainty reasoning, conjunctive and disjunctive combination rules are the core tools for
information updates. As an extension of evidential reasoning, random permutation set …
information updates. As an extension of evidential reasoning, random permutation set …
Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment
Semi-supervised partial label learning is an emerging weakly supervised learning paradigm
dealing with partially labeled data and unlabeled data simultaneously. The supervision …
dealing with partially labeled data and unlabeled data simultaneously. The supervision …
Information Granule Based Uncertainty Measure of Fuzzy Evidential Distribution
Quantifying the uncertainty of information distributions containing randomness, imprecision,
and fuzziness is the premise of processing them. A useful information representation in the …
and fuzziness is the premise of processing them. A useful information representation in the …