Consensus-trust driven bidirectional feedback mechanism for improving consensus in social network large-group decision making
This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …
social network large-group decision making. Firstly, the concepts of interaction consensus …
The overlapping community-driven feedback mechanism to support consensus in social network group decision making
Social network group decision making (SN-GDM) provides valuable support for obtaining
agreed decision results by effectively utilizing the connected social trust relationships among …
agreed decision results by effectively utilizing the connected social trust relationships among …
A clustering-and maximum consensus-based model for social network large-scale group decision making with linguistic distribution
Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …
large-scale group decision making (LGDM) problems are faced. Due to the existence of …
An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation
To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …
it is important to understand and ensure the determinants of high-level user satisfaction …
Fusion social network and regret theory for a consensus model with minority opinions in large-scale group decision making
Y Shen, X Ma, H Zhang, J Zhan - Information Fusion, 2024 - Elsevier
The change in data structure and social paradigm have promoted the rapid development of
decision sciences. Large-scale group decision making (LSGDM) has gained widespread …
decision sciences. Large-scale group decision making (LSGDM) has gained widespread …
Semi-supervised constrained clustering: An in-depth overview, ranked taxonomy and future research directions
Clustering is a well-known unsupervised machine learning approach capable of
automatically grouping discrete sets of instances with similar characteristics. Constrained …
automatically grouping discrete sets of instances with similar characteristics. Constrained …
A robust ordinal regression feedback consensus model with dynamic trust propagation in social network group decision-making
J Sun, Z Gong, D Zhang, Y Xu, G Wei - Information Fusion, 2023 - Elsevier
This paper proposes a robust ordinal regression feedback consensus model based on trust
relationships for social network group decision-making problems in intuitionistic fuzzy …
relationships for social network group decision-making problems in intuitionistic fuzzy …
A fair consensus adjustment mechanism for large-scale group decision making in term of Gini coefficient
F Meng, D Zhao, X Zhang - Engineering Applications of Artificial …, 2023 - Elsevier
With social media and e-democracy development, decision-making environments and
problems have become increasingly complex. Traditional group decision-making, including …
problems have become increasingly complex. Traditional group decision-making, including …
Multi-stage type-α constrained minimum-cost consensus for linguistic Z-number large-scale decision-making
As an extension of group decision-making in terms of scale and uncertainty, linguistic Z-
number large-scale decision-making (LZ-LSDM) is emerging as a prominent research topic …
number large-scale decision-making (LZ-LSDM) is emerging as a prominent research topic …
Enhanced minimum-cost consensus: Focusing on overadjustment and flexible consensus cost
Minimum-cost consensus (MCC) using the optimization-based consensus rule (OR) has
been developed and widely applied to various group decision-making (GDM) contexts …
been developed and widely applied to various group decision-making (GDM) contexts …