Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as
academic field. The objective of IoT is to combine the physical environment with the cyber …

Data mining can generally be defined as a technique for finding patterns (extraction) or
interesting information in large amounts of data that have meaning for decision support. One …

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 …

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 …

As a generation of fuzzy sets, intuitionistic fuzzy sets (IFSs) have a more powerful ability to
represent and address the uncertainty of information. Therefore, IFSs have been used in …

The existing definition of generalized intuitionistic fuzzy soft sets (GIFSSs) is clarified and
reformulated as a combination of an IFSS over the universe of discourse and an intuitionistic …

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

Dempster–Shafer evidence theory has been widely used in various fields of applications,
because of the flexibility and effectiveness in modeling uncertainties without prior …