As an extension of probability theory, evidence theory is able to better handle unknown and
imprecise information. Owing to its advantages, evidence theory has more flexibility and …

The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

Given a probability distribution, its corresponding information volume is Shannon entropy.
However, how to determine the information volume of a given mass function is still an open …

How to measure the complexity of physiological signals in biological system is an open
problem. Various entropy algorithms have been presented, but most of them fail to account …

Dempster-Shafer evidence (DSE) theory, which allows combining pieces of evidence from
different data sources to derive a degree of belief function that is a type of fuzzy measure, is …

Linearity is considered as a fundamental property of significant importance in numerous
domains. A linear mathematical expression is clear, concise, and convenient for solving …

The main goal of most information quality (IQ)-based measures is to combine data provided
by multiple information sources to enhance the quality of information essential for decision …

The complex-value-based generalized Dempster–Shafer evidence theory, also called
complex evidence theory is a useful methodology to handle uncertainty problems of …

In this article, we propose a generalized intelligent quality-based approach for fusing
multisource information. The goal of the proposed approach is to fuse the multicomplex …

In real applications of artificial and intelligent decision-making systems, how to represent the
knowledge involved with uncertain information is still an open issue. The negation method …