A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
A theoretical feedback mechanism framework to model consensus in social network group
decision making (SN-GDM) is proposed with following two main components:(1) the …
decision making (SN-GDM) is proposed with following two main components:(1) the …
Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic …
Distribution linguistic preference relations (DLPRs) that model linguistic expressions with the
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …
A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and …
In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …
consensus. Particularly, when computing with words and linguistic decision, we must keep …
Consensus model based on probability k-means clustering algorithm for large scale group decision making
Q Liu, H Wu, Z Xu - International Journal of Machine Learning and …, 2021 - Springer
Nowadays, the increasing complexity of the social environment brings much difficulty in
group decision making. The more uncertainty exists in a decision-making problem, the more …
group decision making. The more uncertainty exists in a decision-making problem, the more …
A novel probabilistic linguistic approach for large-scale group decision making with incomplete weight information
X Zhang - International Journal of Fuzzy Systems, 2018 - Springer
The large-scale group decision-making (GDM) problems with linguistic information have
received more and more attentions; however, how to effectively manage the linguistic …
received more and more attentions; however, how to effectively manage the linguistic …
A novel process to determine consensus thresholds and its application in probabilistic linguistic group decision-making
When solving group decision-making (GDM) problems, the proper values of consensus
thresholds are vital for consensus checking and improving. Decision makers are usually not …
thresholds are vital for consensus checking and improving. Decision makers are usually not …
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 sequential three-way decision-based group consensus method under probabilistic linguistic term sets
X Han, J Zhan - Information Sciences, 2023 - Elsevier
For complex decision-making problems, the joint evaluation of multiple experts is
indispensable for efficiently addressing them. Therefore, multi-attribute group decision …
indispensable for efficiently addressing them. Therefore, multi-attribute group decision …
Consistency and consensus improvement models driven by a personalized normalization method with probabilistic linguistic preference relations
Z Tian, R Nie, J Wang - Information Fusion, 2021 - Elsevier
Probabilistic linguistic preference relation (PLPR) provides an effective and flexible tool with
which preference degrees of decision-makers can be captured when they vacillatingly …
which preference degrees of decision-makers can be captured when they vacillatingly …
Trust based consensus model for social network in an incomplete linguistic information context
A theoretical framework to consensus building within a networked social group is put
forward. This article investigates a trust based estimation and aggregation methods as part …
forward. This article investigates a trust based estimation and aggregation methods as part …