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 …

Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

In decision-making systems, how to address uncertainty plays an important role for the
improvement of system performance in uncertainty reasoning. Dempster–Shafer evidence …

Complex evidence theory (CET) is an effective method for uncertainty reasoning in
knowledge-based systems with good interpretability that has recently attracted much …

Uncertainty is inevitable in the decision-making process of real applications. Quantum
mechanics has become an interesting and popular topic in predicting and explaining human …

Abstract Information quality has attracted increasing attention in recent years. In this paper,
we propose a measure to quantify the information quality of intuitionistic fuzzy information …

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 …

Transform of basic probability assignment to probability distribution is an important aspect of
decision making process. To address this issue, a weighted network method based on the …

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 …

Fuzzy complex event processing-based decision-making systems have received
considerable research interests recently. In particular, a well-managed operator distribution …