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

COMPUTERS & INDUSTRIAL ENGINEERING(2023)

引用 0|浏览11
暂无评分
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.
更多
查看译文
关键词
Group interactive portfolio optimization,Adaptive learning model,Dynamic weights,Minimum adjustments,Low interactive costs
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要