Information consistent degree‐based clustering method for large‐scale group decision‐making with linear uncertainty distributions information

Y Xu, Z Gong, G Wei, W Guo… - International Journal of …, 2022 - Wiley Online Library
Clustering analysis is a key technique in reducing the dimensionality of high volume
irregular data containing large‐scale group decision‐making (LSGDM) information …

An adaptive optimization consensus mechanism for group decision making using the Shapley allocation scheme

F Meng, D Zhao, C Tan - Information Sciences, 2024 - Elsevier
Adaptive consensus mechanism adopts differentiating consensus improvement strategies
according to different consensus levels, which is reasonable and efficient for reaching …

Supporting consensus reaching on prioritizing failure modes in reliability management: The role of social trust-driven rating-modifications willingness

H Zhang, W Zhang, F Wang, X Chen… - … on Fuzzy Systems, 2023 - ieeexplore.ieee.org
Failure modes and effect analysis (FMEA) is a promising reliability management approach
widely used to prioritize the failure modes. Different backgrounds and levels of knowledge of …

Consensus building for uncertain large-scale group decision-making based on the clustering algorithm and robust discrete optimization

Y Li, Y Ji, S Qu - Group Decision and Negotiation, 2022 - Springer
Consensus reaching processes (CRPs) including the feedback adjustment mechanism
generally require extended periods of time to bridge the opinion gap among decision …

Large-scale group decision-making to facilitate inter-rater reliability of human-factors analysis for the railway system

JL Zhou, RF Tu, H Xiao - Reliability Engineering & System Safety, 2022 - Elsevier
The interdependency analysis of human factors usually needs to identify and label factors
from accident/incident reports using a binary framework. The labeling procedure involves …

Maximum expert consensus model with uncertain adjustment costs for social network group decision making

Y Ma, Y Ji, D Qu, X Zhang, L Wang - Information Fusion, 2024 - Elsevier
In the realm of group decision making (GDM), the maximum expert consensus model
(MECM) emerges as a potent tool for consensus optimization. The complexity of decision …

An optimization design method of express delivery service based on quantitative Kano model and fuzzy qfd model

H Shan, X Fan, S Long, X Yang… - Discrete Dynamics in …, 2022 - Wiley Online Library
Service quality is the soul of express enterprises forever. It is of great practical significance
for winning customer satisfaction, improving the market competition, and realizing …

A personalized bidirectional feedback mechanism by combining cooperation and trust to improve group consensus in social network

W Jin, T Gai, M Cao, M Zhou, J Wu - Computers & Industrial Engineering, 2024 - Elsevier
In the context of social network group decision making, it is an essential step to exploit the
feedback mechanism for consensus reaching process (CRP) to obtain group-supported …

Higher-order interaction of stability simplicial complex driven group consensus reaching in social network

Y Fu, D Liang, Z Xu - Information Fusion, 2024 - Elsevier
To group decision-making (GDM) under social network, the interactions are no longer
limited to pairwise but can take higher-order interaction, which can affect the consensus …

An optimization method for handling incomplete and conflicting opinions in quality function deployment based on consistency and consensus reaching process

J Xiao, X Wang - Computers & Industrial Engineering, 2024 - Elsevier
Abstract Quality Function Deployment (QFD) is a highly regarded customer-oriented quality
management tool, and its key step is to obtain the importance ratings of Customer …