Recently, large-scale group decision making (LSGDM) in social network comes into being. In the practical consensus of LSGDM, the unit adjustment cost of experts is difficult to obtain …
C Shang, R Zhang, X Zhu, Y Liu - Information Sciences, 2023 - Elsevier
Many consensus models in social network group decision making (SNGDM) have been reported to obtain a collective solution despite the initial opinions of decision makers (DMs) …
Q Sun, F Chiclana, J Wu, Y Liu, C Liang… - … on fuzzy systems, 2023 - ieeexplore.ieee.org
This article proposes a novel framework to manage subgroups' noncooperative behavior by weight penalty in large-scale group decision making. To do that, a trust-consensus index …
J Wu, F Chiclana - Knowledge-Based Systems, 2014 - Elsevier
A social network analysis (SNA) trust–consensus based group decision making model with interval-valued fuzzy reciprocal preference relation (IFRPR) is investigated. The main …
X Liang, J Guo, P Liu - Information Sciences, 2022 - Elsevier
Recently, large-scale group decision-making in the social network context has become an attractive research hotspot in decision science. The focus of large-scale group decision …
Z Zhang, Y Gao, Z Li - Knowledge-Based Systems, 2020 - Elsevier
With the rapid development of information, communication and techniques, social network group decision making problems which allow information exchange and communication …
H Zhang, I Palomares, Y Dong, W Wang - Knowledge-Based Systems, 2018 - Elsevier
In consensus-based multiple attribute group decision making (MAGDM) problems, it is frequent that some experts exhibit non-cooperative behaviors owing to the different areas to …
Y Liu, C Liang, F Chiclana, J Wu - Knowledge-Based Systems, 2017 - Elsevier
This article addresses the inconsistency problem in group decision making caused by disparate opinions of multiple experts. To do so, a trust induced recommendation …
Y Shen, X Ma, Z Xu, E Herrera-Viedma, P Maresova… - Information …, 2024 - Elsevier
The shift to a new era of dealing with big data has driven continuous progress and development in computer science, artificial intelligence and machine learning. This change …