A two-stage consensus model for large-scale group decision-making considering dynamic social networks

L Li, S Jiao, Y Shen, B Liu, W Pedrycz, Y Chen, X Tang - Information Fusion, 2023 - Elsevier
Clustering and the feedback mechanism in a consensus reaching process (CRP) have been
regarded as two critical components when solving the large-scale group decision-making …

A public and large-scale expert information fusion method and its application: Mining public opinion via sentiment analysis and measuring public dynamic reliability

X Chen, W Zhang, X Xu, W Cao - Information Fusion, 2022 - Elsevier
With the rapid development of social media, reliable information released by the public on
social media can provide important decision-making support. Therefore, the consideration of …

Data-driven robust cost consensus model with individual adjustment willingness in group decision-making

H Zhang, Y Ji, S Qu, H Li, Y Li - Computers & Industrial Engineering, 2023 - Elsevier
In the consensus reaching process, the moderator, as the representative of collective
interests, needs to consume certain resources to help decision-makers (DMs) reach a …

Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets

Z Tian, H Zhang, J Wang, J Wang… - International Journal of …, 2016 - Taylor & Francis
In this paper, two optimisation models are established to determine the criterion weights in
multi-criteria decision-making situations where knowledge regarding the weight information …

Pythagorean fuzzy Bonferroni mean aggregation operator and its accelerative calculating algorithm with the multithreading

D Liang, Y Zhang, Z Xu… - International Journal of …, 2018 - Wiley Online Library
In this paper, we study the well‐known Bonferroni mean and develop its generalized
aggregation operators in the Pythagorean fuzzy environment. More specifically, by …

Sparse representation-based intuitionistic fuzzy clustering approach to find the group intra-relations and group leaders for large-scale decision making

RX Ding, X Wang, K Shang, B Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a sparse representation-based intuitionistic fuzzy clustering (SRIFC) approach
is presented for solving the large-scale decision making (LSDM) problem. It consists of two …

An improved approach for failure mode and effect analysis involving large group of experts: An application to the healthcare field

HC Liu, XY You, F Tsung, P Ji - Quality Engineering, 2018 - Taylor & Francis
Failure mode and effect analysis (FMEA) is a team-based technique for prospectively
identifying and prioritizing failure modes of products, processes, and services. Given its …

Clustering-based method for large group decision making with hesitant fuzzy linguistic information: Integrating correlation and consensus

X Zhong, X Xu - Applied Soft Computing, 2020 - Elsevier
Aiming at the large-scale experts and the lower consensus in large group decision making,
a novel clustering-based method integrating correlation and consensus of hesitant fuzzy …

A novel consensus model for multi-attribute large-scale group decision making based on comprehensive behavior classification and adaptive weight updating

Z Shi, X Wang, I Palomares, S Guo, RX Ding - Knowledge-Based Systems, 2018 - Elsevier
Consensus reaching process (CRP) has received increasing attention in recent years, as
the demand for decision results with mutual agreement has greatly grown. With the current …

Managing group confidence and consensus in intuitionistic fuzzy large group decision-making based on social media data mining

X Chen, W Zhang, X Xu, W Cao - Group Decision and Negotiation, 2022 - Springer
Social media has played an increasingly important role in decision-making for public issues,
and the concerns of the public, an important reference for which is in social media, have …