N Zhang, Z Gong, F Chiclana - Expert Systems with Applications, 2017 - Elsevier
In some complex group decision making cases, the opinions of decision makers (DMs) present random characteristic. However, it is difficult to determine the range of opinions by …
A Mondal, SK Roy, J Zhan - Expert Systems with Applications, 2023 - Elsevier
In real-life decision making problems, reliability of information is one of the most concerning factors. Accordingly, to avoid the involvement of inconsistent information in a multi-attribute …
ZP Tian, RX Nie, JQ Wang - Journal of the Operational Research …, 2020 - Taylor & Francis
This study aims to develop an integrated approach for solving probabilistic linguistic multi- criteria decision-making (MCDM) problems. This study first reveals the limitations in the …
X Zhou, S Li, C Wei - Information Fusion, 2024 - Elsevier
Due to the urgent nature of emergency decision making, it is necessary to reach the consensus requirement quickly. Ordinal consensus measure explores the relation between …
J Gao, Z Xu, P Ren, H Liao - … Journal of Machine Learning and Cybernetics, 2019 - Springer
As the evolution of emergencies is often uncertain, it may lead to multiple emergency scenarios. According to the characteristics of emergency management, this paper proposes …
H Zhang, X Wang, W Xu, Y Dong - Engineering Applications of Artificial …, 2023 - Elsevier
This paper investigates the impacts of personalized individual semantics (PIS) on consistency and consensus in Best–Worst method (BWM) with heterogeneous linguistic …
F Meng, D Zhao, C Tan, Z Li - Information Fusion, 2023 - Elsevier
Consensus analysis is necessary for large-scale group decision making (LSGDM) for ensuring reasonable decision results. This paper offers a new method for LSGDM with …
In group decision making (GDM), consensus level is regarded as a critical criterion to measure the effectiveness and availability of the final group decision solution. Consensus …
SM Yu, XT Zhang, Z Du - Information Fusion, 2023 - Elsevier
Minimum-cost consensus (MCC) using the optimization-based consensus rule (OR) has been developed and widely applied to various group decision-making (GDM) contexts …