The challenges encountered in the realm of multi-attribute group decision-making (MAGDM)
involving probabilistic linguistic term sets (PLTSs) have garnered substantial attention …

The foundation of intelligent computing and expert systems relies on the data processing
conducted within the realm of multi-scale information systems (MSISs). Data processing …

The advancement of computational intelligence has led to the increased application of
intelligent methods across various fields, including management, psychology, and machine …

Multiattribute group decision-making (MAGDM) is a decision analysis method used to
address decision-making problems that have multiple attributes and multiple decision …

The seamless integration of computerized methodologies into industrial engineering
problem-solving is pivotal for optimizing efficiency. In the specific domain of multi-attribute …

This paper synthesizes and analyzes relevant data at multiple levels (ie, multi-scale
information systems (MSIS)) by fusing social network (SN) and three-way decision (TWD). It …

Three-way decision, an outstanding method to handle decision-making uncertainties, relies
on essentially the loss functions derived from the Bayesian risk decision process. Actually …

In multi-attribute decision-making (MADM) problems, attribute types typically include benefit
attributes and cost attributes. In most existing MADM studies, attribute types are converted to …

In most real-life decision-making situations, experts tend to utilize linguistic information
rather than numerical values to express their preferences or evaluations on alternatives …

Expected utility consensus models aim to obtain a consensus solution with the maximum
utility of the group. However, decision-makers (DMs) are often bounded rational in practice …