Y Zhou, S Wang, Y Chen, C Zheng - Information Fusion, 2023 - Elsevier
Aiming at large-scale decision-makers (DMs) and the loss of decision sample information in large-scale group decision-making (LSGDM), a novel statistical estimation method …
J Liu, L Shao, L Zhou, F Jin - International Journal of Fuzzy Systems, 2022 - Springer
Probabilistic linguistic preference relation (PLPR) is an effective tool for decision-makers (DMs) to express their preferences in the decision-making process. However, the …
Consensus reaching processes (CRPs) have been required to assure the consensus in large scale group decision making (LSGDM). Opinion reliability detection has been …
ZP Tian, RX Nie, JQ Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Large-scale group decision-making (LSGDM), which involves dozens to hundreds of decision-makers (DMs), is attracting extensive attention and has become an interesting and …
A Liu, H Qiu, H Lu, X Guo - IEEE Access, 2019 - ieeexplore.ieee.org
Owing to the important role in group decision making (GDM), the consensus research has received extensive attention from both theoretical and applied perspectives in recent years …
F Jin, J Liu, L Zhou, L Martínez - Group Decision and Negotiation, 2021 - Springer
Large-scale group decision-making (LSGDM) deals with complex decision-making problems which involve a large number of decision makers (DMs). Such a complex scenario …
X Han, J Zhan - Information Sciences, 2023 - Elsevier
For complex decision-making problems, the joint evaluation of multiple experts is indispensable for efficiently addressing them. Therefore, multi-attribute group decision …
T Wu, X Liu, F Liu - Soft Computing, 2019 - Springer
Owing to the advancement of information technique, people in large groups usually have some social relationships with others and also have their own unique preferences. It is …
Y Liu, Y Yang, L Sun, A Huang - Expert Systems with Applications, 2023 - Elsevier
The multi-granular probabilistic linguistic modeling allows decision makers to express cognitive information using multiple linguistic term sets based on their preferences …