Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …
complexity of preference information in linguistic decision making. To provide a …
Large-scale group decision making: a systematic review and a critical analysis
The society in the digital transformation era demands new decision schemes such as e-
democracy or based on social media. Such novel decision schemes require the participation …
democracy or based on social media. Such novel decision schemes require the participation …
Expertise-structure and risk-appetite-integrated two-tiered collective opinion generation framework for large-scale group decision making
The generation of collective preference assessments occupies a critical position in deriving
accurate and reliable alternative rankings in the context of large-scale group decision …
accurate and reliable alternative rankings in the context of large-scale group decision …
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based …
In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …
Personalized individual semantics-based consistency control and consensus reaching in linguistic group decision making
Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …
Heterogeneous large-scale group decision making using fuzzy cluster analysis and its application to emergency response plan selection
As the number of people involved in a decision-making problem increases, the complexity of
the group decision-making (GDM) process increases accordingly. The size of participants …
the group decision-making (GDM) process increases accordingly. The size of participants …
Consensus reaching for social network group decision making by considering leadership and bounded confidence
With the rapid development of information, communication and techniques, social network
group decision making problems which allow information exchange and communication …
group decision making problems which allow information exchange and communication …
Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making
Y Gao, Z Zhang - Journal of the Operational Research Society, 2021 - Taylor & Francis
Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …
become a popular topic in linguistic group decision making (GDM). However, in linguistic …
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network
This paper focuses on consensus reaching process (CRP) under social network in which the
trust relationship expressed by linguistic information. A new feedback mechanism in social …
trust relationship expressed by linguistic information. A new feedback mechanism in social …
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information
Two-sided matching decision making (TSMDM) problems exist widely in human being's
daily life. For practical TSMDM problems, matching objects with different culture and …
daily life. For practical TSMDM problems, matching objects with different culture and …