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【科研论文】刘娜娜副教授在《Information Fusion》发表研究论文

2024年12月17日
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【论文信息】

Liu N, Zhang X, Wu H. A consensus-reaching model considering decision-makers’ willingness in social network-based large-scale group decision-making[J]. Information Fusion, 2025, 116: 102797.(中科院SCI一区Top期刊)

https://doi.org/10.1016/j.inffus.2024.102797

【作者信息】

第一作者:刘娜娜,博士,副教授,研究方向:大数据与运营管理、数据驱动的决策理论与方法、偏好分析、智能决策

【论文摘要】

For social network-based large-scale group decision-making scenarios, it is important to consider the willingness of decision-makers (DMs) in the consensus-reaching process (CRP). The bounded confidence (BC) value reflects decision-makers’ willingness. However, the BC value is usually set as a fixed value, ignoring that people's psychological acceptance changes dynamically in the CRP, which may lead to inaccurate results. Besides, existing consensus-reaching mechanisms do not sufficiently comply with DMs’ willingness. To address the above issues, we first introduce the adaptive BC value that better measures DMs’ willingness. Furthermore, a new consensus-reaching mechanism is developed to prioritise DMs’ willingness. This mechanism incorporates structural hole spanners in negotiations, enhancing communication between communities and better reflecting DMs’ willingness in the CRP. Then, a numerical example is presented to illustrate the effectiveness of our model. Finally, several simulation experiments are conducted, and the results show that our model is reliable.

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