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 …

In real-world decision problems, decision makers usually express their opinions with
different preference structures. In order to deal with the heterogeneous preference …

Computational intelligence is increasingly applied to complex decision-making challenges,
leveraging its data analysis prowess. Hybrid human-artificial intelligence models enhance …

Preference relations have been widely used in Group Decision Making (GDM) to represent
decision makers' preferences over alternatives. Recently, a new kind of preference relation …

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

In group decision making (GDM), there exists a situation in which experts may not able to
provide comparative judgements regarding all pairs of alternatives, and therefore leading to …

In the realm of addressing consensus challenges within group decision-making (GDM) that
encompass individual preferences, this article presents an innovative approach. This article …

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 …

Preference reliability analysis for preference relations reflected by the ordinal consistency
and the cardinal consistency was intensively studied. The ordinal consistency is a minimum …

This study proposes a large‐scale group decision‐making (LSGDM) consensus model
considering the experts' adjustment willingness based on the interactive weights' …