Z Zhang, Z Li - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
Consistency and consensus are important issues for linguistic group decision making (GDM), which have been extensively studied by scholars. Nevertheless, most of previous …
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 …
D Cheng, F Cheng, Z Zhou, Y Wu - Information Fusion, 2020 - Elsevier
In this paper, we propose a minimum adjustment consensus framework for the social network group decision-making (SN-GDM) with incomplete linguistic preference relations …
Z Hua, X Jing, L Martínez - Information Sciences, 2023 - Elsevier
Consensus reaching is essential in group decision-making (GDM) since it can mitigate conflicts between expert opinions and promotes the further implementation of decision …
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 …
F Jin, M Cao, J Liu, L Martínez, H Chen - Applied Soft Computing, 2021 - Elsevier
Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the importance of different linguistic terms. With respect to group decision-making (GDM) …
Due to the development of intelligent decision-making, social network group decision- making (SNGDM) has become increasingly valued. Generally, real SNGDM cases involve …
Y Yuan, D Cheng, Z Zhou - Information Sciences, 2021 - Elsevier
In consensus-based social network group decision making (SN-GDM) problems, experts tend to refuse modifications if they exceed the limit of their maximum compromise, which …
In computing with words, it has been stressed that words mean different things for different people, which entails that decision makers (DMs) have personalized individual semantics …