Intelligent decision-making collaborates with big data analytics to navigate the intricate
landscape of the digital economy, orchestrating data-driven strategies to achieve the most …

Social network group consensus is a hybrid cooperative and non-cooperative problem, with
the management of non-cooperative behavior as a key topic. In response, this study …

In the realm of group decision making (GDM), the maximum expert consensus model
(MECM) emerges as a potent tool for consensus optimization. The complexity of decision …

Large-scale group decision-making (LSGDM) problems involve two processes: a clustering
process is first implemented to break down a larger group into several smaller subgroups for …

In high-end equipment project selection, which involves high technical complexity,
significant capital investment, and cross-industry applications, it is essential to involve …

Trust is a crucial element in the consensus decision-making process, as it significantly
impacts a group's capacity to achieve consensus. Nevertheless, low trust by experts may …

Decision-makers (DMs) are often hesitant about the evaluations owing to objective or
subjective reasons, and determined preference relations always have various limitations on …

Feature selection is a crucial step in fault diagnosis. When rolling bearings are susceptible
to compound faults, causal relationships are hidden within the signal features. Complex …

Minimum-cost consensus (MCC) is an effective technique for reducing differences of opinion
in group decision-making that considers adjustment costs. Classical MCC aims to obtain an …

Among many corresponding matters in predictive modeling, the efficiency and effectiveness
of the several approaches are the most significant. This study delves into a comprehensive …