Particle swarm optimization for trust relationship based social network group decision making under a probabilistic linguistic environment

X Zhou, F Ji, L Wang, Y Ma, H Fujita - Knowledge-Based Systems, 2020 - Elsevier
Group decision making (GDM) problems require consensus reaching processes; however,
these can be time consuming and costly. As experts change their evaluations after …

Consensus modeling with nonlinear utility and cost constraints: A case study

Z Gong, X Xu, L Li, C Xu - Knowledge-Based Systems, 2015 - Elsevier
In complex group decision making (GDM), reaching a consensus needs both the adequate
communication and exchange between the individual decision makers (DMs) and the input …

[HTML][HTML] A systematic review on multi-criteria group decision-making methods based on weights: Analysis and classification scheme

D Boix-Cots, F Pardo-Bosch, P Pujadas - Information Fusion, 2023 - Elsevier
Interest in group decision-making (GDM) has been increasing prominently over the last
decade. Access to global databases, sophisticated sensors which can obtain multiple inputs …

A multiattribute group decision-making method with probabilistic linguistic information based on an adaptive consensus reaching model and evidential reasoning

P Liu, Y Li, X Zhang, W Pedrycz - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a new multiattribute group decision-making (MAGDM) method with
probabilistic linguistic information that considers the following three aspects: an allocation of …

A large scale group three-way decision-based consensus model for site selection of new energy vehicle charging stations

YM Wang, SF He, DG Zamora, XH Pan… - Expert Systems with …, 2023 - Elsevier
Abstract The development of New Energy Vehicles (NEVs) has contributed to the alleviation
of environmental pollution in the transportation sector. Although NEVs have some …

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 …

A large-scale consensus model to manage non-cooperative behaviors in group decision making: A perspective based on historical data

K Xiong, Y Dong, Q Zha - Expert Systems with Applications, 2023 - Elsevier
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 …

Consensus reaching mechanism with parallel dynamic feedback strategy for large-scale group decision making under social network analysis

YJ Zhou, M Zhou, XB Liu, BY Cheng… - Computers & Industrial …, 2022 - Elsevier
With the scale of group decision making increasing, it is a crucial issue to get the utmost of
collective intelligence for seeking the optimal solution. In this study, we propose an …

Managing classification-based consensus in social network group decision making: An optimization-based approach with minimum information loss

J Xiao, X Wang, H Zhang - Information Fusion, 2020 - Elsevier
This study proposes a classification-based consensus framework in social network group
decision making, which aims to classify alternatives into several ordinal classes from best to …

Balance dynamic clustering analysis and consensus reaching process with consensus evolution networks in large-scale group decision making

T Wu, X Liu, J Qin, F Herrera - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
Large-scale group decision-making (LSGDM) solution is usually based on the clustering
analysis process (CAP) and consensus reaching process (CRP). However, CAP and CRP …