Adaptive consensus reaching process with dynamic weights and minimum adjustments for group interactive portfolio optimization

COMPUTERS & INDUSTRIAL ENGINEERING(2023)

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摘要
•Interactively, a group reaches consensus on a portfolio decision during the optimization process.•The dynamic weights of experts are determined by the dynamically changing trust network, risk preferences, and rational levels.•An adaptive CRP feedback framework reduces opinion adjustments and interactive costs.
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关键词
Group interactive portfolio optimization,Adaptive learning model,Dynamic weights,Minimum adjustments,Low interactive costs
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