Y Zheng, Z Xu, Y He, Y Tian - Expert Systems with Applications, 2021 - Elsevier
Large-scale group decision-making process has received an increasing attention in recent years. After making the general survey of the existing large-scale group decision-making …
P Liu, X Dong, P Wang - Applied Soft Computing, 2023 - Elsevier
Considering the uncertainty of large group decision-making and the limitation of resources, this paper constructs a large group decision-making method with hesitant fuzzy linguistic …
Large-scale group decision making (LSGDM) or complex group decision making (GDM) problems are very commonly encountered in actual life, especially in the era of data. At …
P Liu, X Dong, P Wang - International Journal of Computational …, 2022 - Springer
The rapid expansion of renewable energy has attracted the attention of investors, which makes the evaluation of renewable energy projects a momentous issue. As the investment …
With the development of the cloud computing era, the decision-making environment and algorithm models have become increasingly complex, and traditional decision-making …
Y Zheng, Z Xu, Y Li, W Pedrycz… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large-scale group decision making becomes increasingly common with the rapid development of society and the increasing complexity of practical problems. However, it is …
S Li, RM Rodríguez, C Wei, T Shu - Computers & Industrial Engineering, 2022 - Elsevier
Large scale group decision making (LSGDM) has become a hot research topic in the field of decision science. Reaching a consensus in LSGDM is more difficult and complex than the …
Y Zhu, W Zhang, J Hou, H Wang, T Wang… - Mathematical …, 2024 - aimspress.com
We proposed a novel decision-making method, the large-scale group consensus multiattribute decision-making method based on probabilistic dual hesitant fuzzy sets, to …
C Zheng, Y Zhou, L Zhou, H Chen - Expert Systems with Applications, 2022 - Elsevier
Considering that large-scale group decision making (LSGDM) has been widely concentrated on clustering and lower compatibility problems, this paper focuses on …