Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies
Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …
making models by guiding decision-makers towards modifying their opinions through a …
A large-scale consensus model to manage non-cooperative behaviors in group decision making: A perspective based on historical data
In the large-scale group decision making (LSGDM) problems, it is common that some
decision makers might refuse to modify their preferences to achieve a consensus or even …
decision makers might refuse to modify their preferences to achieve a consensus or even …
A global optimization feedback model with PSO for large scale group decision making in hesitant fuzzy linguistic environments
In an increasingly complex and uncertain decision-making environment, large-scale group
decision-making (LSGDM) can offer a more efficient method, allowing a large number of …
decision-making (LSGDM) can offer a more efficient method, allowing a large number of …
Statistics-based approach for large-scale group decision-making under incomplete Pythagorean fuzzy information with risk attitude
Y Zhou, C Zheng, M Goh - Knowledge-Based Systems, 2022 - Elsevier
As loss in decision sample information occurs during large-scale group decision-making
(LSGDM), this paper proposes a statistical estimation approach for handling Pythagorean …
(LSGDM), this paper proposes a statistical estimation approach for handling Pythagorean …
Three-way decision model under a large-scale group decision-making environment with detecting and managing non-cooperative behaviors in consensus reaching …
Aiming of this paper is to introduce large-scale group decision-making (LSGDM) into three-
way decisions (3WDs) with decision-theoretic rough sets (DTRSs) and propose LSGDM …
way decisions (3WDs) with decision-theoretic rough sets (DTRSs) and propose LSGDM …
The reconciliation mechanism by cooperative intention index for managing non-cooperative behaviors in social network group decision making
J Shen, S Wang, F Ji, T Gai, J Wu - Engineering Applications of Artificial …, 2023 - Elsevier
Social network group consensus is a hybrid cooperative and non-cooperative problem, with
the management of non-cooperative behavior as a key topic. In response, this study …
the management of non-cooperative behavior as a key topic. In response, this study …
Large group decision-making considering multiple classifications for participators: a method based on preference information on multiple elements of alternatives
PP Cao, J Zheng, S Wang, MY Li, XY Wang - Complex & Intelligent …, 2024 - Springer
In large group decision-making, participators with different knowledge structures,
backgrounds, and other characteristics are unlikely to accurately evaluate alternatives. For …
backgrounds, and other characteristics are unlikely to accurately evaluate alternatives. For …
Statistics-based method for large-scale group decision-making with incomplete linguistic distribution fuzzy information: Incorporating reliability and entropy
Y Zhou, S Wang, Y Chen, C Zheng - Information Fusion, 2023 - Elsevier
Aiming at large-scale decision-makers (DMs) and the loss of decision sample information in
large-scale group decision-making (LSGDM), a novel statistical estimation method …
large-scale group decision-making (LSGDM), a novel statistical estimation method …
An opinions-updating model for large-scale group decision-making driven by autonomous learning
This paper aspires to explore and construct a more objective and automated large-scale
group decision-making (LSGDM) model. The concept of vacillation degree based on …
group decision-making (LSGDM) model. The concept of vacillation degree based on …
A similarity-conformity-based clustering and decentralized feedback mechanism to manage incompatible decision-makers in large-scale group decision-making
JL Zhou, XY Chen, HW Wang - Expert Systems with Applications, 2024 - Elsevier
This study proposes a similarity-conformity-based clustering and decentralized feedback
mechanism to manage incompatible decision-makers (DMs) in the large-scale group …
mechanism to manage incompatible decision-makers (DMs) in the large-scale group …