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 …
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions
The reciprocal preference relation (RPR) is a powerful tool to represent decision makers'
preferences in decision making problems. In recent years, various types of RPRs have been …
preferences in decision making problems. In recent years, various types of RPRs have been …
Consensus-trust driven bidirectional feedback mechanism for improving consensus in social network large-group decision making
This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …
social network large-group decision making. Firstly, the concepts of interaction consensus …
Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making
In parallel with the development of information and network technology, large amounts of
data are being generated by the Internet, and data-driven methodologies are now often …
data are being generated by the Internet, and data-driven methodologies are now often …
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 …
Revisiting fuzzy and linguistic decision making: Scenarios and challenges for making wiser decisions in a better way
This article provides a brief tour through the main fuzzy and linguistic decision-making
trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …
trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …
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 …
Probabilistic linguistic term sets in multi-attribute group decision making
Q Pang, H Wang, Z Xu - Information Sciences, 2016 - Elsevier
When expressing preferences in qualitative setting, several possible linguistic terms with
different weights (represented by probabilities) may be considered at the same time. The …
different weights (represented by probabilities) may be considered at the same time. The …
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
The last decade witnessed tremendous developments in social media and e-democracy
technologies. A fundamental aspect in these paradigms is that the number of decision …
technologies. A fundamental aspect in these paradigms is that the number of decision …