Abstract The Dempster-Shafer (DS) evidence theory, renowned for its efficacy in processing
uncertain information, has garnered substantial attention in recent decades. A generalized …

Complex evidence theory, as a generation model of the Dempster-Shafer evidence theory,
has the ability to express uncertainty and perform uncertainty reasoning. One of the key …

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

Complex evidence theory, a generalization of Dempster–Shafer evidence theory, is an
effective uncertainty reasoning for decision fusion in complex‐valued domain. In particular …

Uncertain information processing is a key problem in classification. Dempster-Shafer
evidence theory (DS evidence theory) is widely used in uncertain information modelling and …

Dempster–Shafer evidence theory can combine multiple sources of uncertain information to
form a consistent basic probability assignment (BPA). How to transform BPA into decision …

Dempster-Shafer evidence theory (DS theory) is applied to process uncertain information in
different scenarios. However, traditional Dempster combination rule may produce …

Complex evidence theory (CET) is crucial in modeling uncertain information in the complex
domain. With the development of the research on CET, how to measure the conflict between …

Dempster-Shafer evidence theory is an efficient tool in knowledge reasoning and decision-
making under uncertain environments. Conflict management is an open issue in Dempster …

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