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 …
Consistency and consensus models for group decision-making with uncertain 2-tuple linguistic preference relations
Due to the uncertainty of the decision environment and the lack of knowledge, decision-
makers may use uncertain linguistic preference relations to express their preferences over …
makers may use uncertain linguistic preference relations to express their preferences over …
Managing consensus reaching process with self-confident double hierarchy linguistic preference relations in group decision making
Group decision making (GDM) can be defined as an environment where there exist a set of
possible alternatives and a set of individuals (experts, judgements, etc.). Preference relation …
possible alternatives and a set of individuals (experts, judgements, etc.). Preference relation …
An improved consensus-based model for large group decision making problems considering experts with linguistic weighted information
P Wang, X Xu, S Huang - Group Decision and Negotiation, 2019 - Springer
In this paper, a consensus-based model in a large group decision making environment is
proposed to achieve the group consensus among experts. This framework considers experts …
proposed to achieve the group consensus among experts. This framework considers experts …
Hierarchical punishment-driven consensus model for probabilistic linguistic large-group decision making with application to global supplier selection
Large-group decision making (LGDM) has attracted extensive attention and has been used
to model complex decision problems. It is necessary to implement a consensus reaching …
to model complex decision problems. It is necessary to implement a consensus reaching …
Adaptive consensus support model for group decision making systems
SM Chen, LW Lee, SW Yang, TW Sheu - Expert Systems with Applications, 2012 - Elsevier
In this paper, we present an adaptive consensus support model for group decision making
systems based on intervals of linguistic 2-tuples. The proposed method has the following …
systems based on intervals of linguistic 2-tuples. The proposed method has the following …
A multi-stage hybrid consensus reaching model for multi-attribute large group decision-making: Integrating cardinal consensus and ordinal consensus
X Zhong, X Xu, X Yin - Computers & Industrial Engineering, 2021 - Elsevier
Based on the notion that cardinal consensus and ordinal consensus are of equal
importance, a novel consensus reaching model for multi-attribute large group decision …
importance, a novel consensus reaching model for multi-attribute large group decision …
A group consensus model with prospect theory under probabilistic linguistic term sets
The challenges encountered in the realm of multi-attribute group decision-making (MAGDM)
involving probabilistic linguistic term sets (PLTSs) have garnered substantial attention …
involving probabilistic linguistic term sets (PLTSs) have garnered substantial attention …
Consensus reaching models of linguistic preference relations based on distance functions
Z Wu, J Xu - Soft Computing, 2012 - Springer
In group decision making (GDM) using linguistic preference relations to obtain the maximum
degree of agreement, it is desirable to develop a consensus process prior to the selection …
degree of agreement, it is desirable to develop a consensus process prior to the selection …
Consensus of three-way group decision with weight updating based on a novel linguistic intuitionistic fuzzy similarity
Three-way group decision-making is an important direction of study in the fields of three-way
decision-making and granular computing and has received much attention from scholars in …
decision-making and granular computing and has received much attention from scholars in …