In artificial intelligence systems, a question on how to express the uncertainty in knowledge
remains an open issue. The negation scheme provides a new perspective to solve this …

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

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 …

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

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

Combining basic probability assignments (BPAs) with time series is common in real-life
cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …

Large-scale group decision-making (LSGDM) deals with complex decision-making
problems which involve a large number of decision makers (DMs). Such a complex scenario …

Recently, large-scale group decision-making in the social network context has become an
attractive research hotspot in decision science. The focus of large-scale group decision …

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 …

Abstract The Random Permutation Set (RPS) is a newly proposed type of set. An RPS takes
the permutation of a certain set into consideration and can be regarded as a generalization …