Maximum entropy of random permutation set

J Deng, Y Deng - Soft Computing, 2022 - Springer
Recently, a new type of set, called random permutation set (RPS), is proposed by
considering all the permutations of elements in a certain set. For measuring the uncertainty …

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 …

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 …

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 …

Entropy of random permutation set

L Chen, Y Deng - Communications in Statistics-Theory and …, 2024 - Taylor & Francis
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 …

Maximum-entropy-based decision-making trial and evaluation laboratory and its application in emergency management

Y Che, Y Deng, YH Yuan - Journal of Organizational and End User …, 2022 - igi-global.com
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 …

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 …

Conjunctive and disjunctive combination rules in random permutation set theory: A layer-2 belief structure perspective

Q Zhou, Y Cui, W Pedrycz, Y Deng - Information Fusion, 2024 - Elsevier
In uncertainty reasoning, conjunctive and disjunctive combination rules are the core tools for
information updates. As an extension of evidential reasoning, random permutation set …

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment

M Song, H Li, C Sun, D Cai, S Hong - Information Sciences, 2022 - Elsevier
Semi-supervised partial label learning is an emerging weakly supervised learning paradigm
dealing with partially labeled data and unlabeled data simultaneously. The supervision …

Information Granule Based Uncertainty Measure of Fuzzy Evidential Distribution

Q Zhou, W Pedrycz, Y Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Quantifying the uncertainty of information distributions containing randomness, imprecision,
and fuzziness is the premise of processing them. A useful information representation in the …