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作 者:熊熊[1] 陈若鑫 张维[1] 孟永强[1] XIONG Xiong;CHEN Ruo-xin;ZHANG Wei;MENG Yong-qiang(College of Management and Economics,Tianjin University,Tianjin 300072,China)
出 处:《工程管理科技前沿》2023年第4期35-42,共8页Frontiers of Science and Technology of Engineering Management
基 金:国家自然科学基金资助项目(72141304);国家自然科学基金青年资助项目(72201190)。
摘 要:金融市场是一个复杂的巨系统,其决策问题呈现出动态化、多元化趋势的同时,对决策环境也提出了更高的要求。决策剧场以其群决策、可视化、人机协同的特点在面对复杂性问题时具有独特优势。然而,现有的决策剧场一方面并未充分考虑金融领域的特殊需求,另一方面存在“大数据-小数据”、决策范式单一和人机协同深化不足等问题,尚未在金融场景中有较好的应用。针对上述问题,本文首先以金融领域为决策情境,补充了决策剧场在新领域的应用,扩大了决策剧场应用范畴。其次,提出了面向金融场景的数智赋能决策剧场架构,通过融合大数据特征和构建交互体系解决了传统决策剧场存在的问题。最后,基于该新型决策剧场设计了金融情境下人机深度协同的非线性决策流程,为金融领域提供了新的决策解决方案,以期推进决策剧场相关研究的改进与创新。The financial market is a complex giant system,and its decision problems show a trend of dynamism and diversity while putting higher requirements on the decision environment.Decision theater with its features of group decision-making,visualization,and human-computer collaboration has unique advantages in facing complex problems.However,on the one hand,the existing decision theaters have not fully considered the special needs of the financial field,and on the other hand,there are problems of the"Big data-Small data",single decision paradigm,and insuffi-cient deepening of human-computer collaboration,which have caused that the existing decision theaters are not been well applied in the financial scenario.To address this problem:Firstly,we supplement the application of decision theaters in new fields by starting from the financial scenario and expanding the application scope of decision theaters.Secondly,we propose a data-infused decision theater architecture tailored for the financial scenario to integrate big data features and build an interactive system to solve the problems of traditional decision theaters.Finally,by designing the nonlinear decision-making process for human-computer deep collaboration in financial contexts,we provide a new decision-making solution for the financial field and promote the improvement and innovation of decision theater-related research.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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