YW Du, Q Chen, YL Sun, CH Li - Knowledge-Based Systems, 2021 - Elsevier
Large-scale multiattribute group decision-making (LMGDM) requires a large number of participants with different knowledge structures. This study proposed an LMGDM consensus …
Z Hua, L Fei, H Xue - Information Sciences, 2022 - Elsevier
Consensus building is crucial in multi-criteria group decision making (MCGDM) because a consensual decision outcome is beneficial for implementing the result. However, expert …
C Fu, X Jia, W Chang - Information Sciences, 2023 - Elsevier
This study proposes a new indirect method to solve multicriteria group decision-making (MCGDM) problems with heterogeneous preference relations and decision-makers' …
WC Zou, SP Wan, JY Dong, L Martínez - Information Sciences, 2023 - Elsevier
Consensus reaching process (CRP) is very important for multi-criteria group decision making (MCGDM). Recently, social network driven CRP methods have been deeply …
C Fu, W Chang, S Yang - Information Sciences, 2020 - Elsevier
To generate solutions to multiple criteria group decision-making (MCGDM) problems that are satisfactory to the decision makers, this paper proposes a new method. To examine …
Consensus reaching is a key issue in group decision-making, because conflicts of interest among groups are common. Democratic consensus refers to achieve a soft consensus …
X Zhong, X Xu, X Chen - Soft Computing, 2022 - Springer
In real large group decision-making (LGDM) problems, there usually exist double information consisting of decision basis information and preference relation information, and …
X Zhong, X Xu, X Yin - Computers & Industrial Engineering, 2021 - Elsevier
Based on the notion that cardinal consensus and ordinal consensus are of equal importance, a novel consensus reaching model for multi-attribute large group decision …
S Yu, Z Du, J Wang, H Luo, X Lin - Computers & Industrial Engineering, 2021 - Elsevier
In classical multiple attribute group decision-making (MAGDM), experts are usually required to evaluate a predefined set of alternatives according to a predefined set of attributes …