T Gai, M Cao, Q Cao, J Wu, G Yu, M Zhou - Computers & Industrial …, 2020 - Elsevier
Nowadays, large-scale group decision making (LSGDM) has become a hot topic and brought new challenges for the decision makers. This article proposes a framework of joint …
T Gai, M Cao, F Chiclana, J Wu, C Liang… - Expert Systems with …, 2022 - Elsevier
This paper proposes a decentralized feedback mechanism to help large-scale decision makers (DMs) reach consensus considering the limited compromise behavior of subgroups …
J Wang, W Wang, F Meng, P Wang, X Wang… - PeerJ Computer …, 2024 - peerj.com
Clustering is an effective means to reduce the scaling of large-scale group decision-making (LSGDM). However, there are many problems with clustering methods, such as incomplete …
The ever-increasing demand for applications with stringent constraints in device density, latency, user mobility, or peak data rate has led to the appearance of the last generation of …