研究认知图的构建和动态适应算法多式联络知识网络的企业管理通信研究
Minghui Ma1, Yaweng Wang2, Wei Sun3
1College of Culture and Tourism, Anhui Vocational and Technical College, Hefei, 230011, Anhui, China. kuaikuaihaoqilaiba@163.com.
Scientific reports
|February 22, 2026
概括
本研究介绍了企业管理的动态多式联运知识网络,改善决策和供应链弹性. 这种新的方法增强了数据集成和实时适应复杂的商业环境.
科学领域:
- 企业管理 企业管理
- 数据科学数据科学数据科学
- 供应链管理 供应链管理
背景情况:
- 现代企业管理多样化,碎片化数据,阻碍决策速度和协作,特别是在供应链中断期间.
- 像模糊认知地图 (FCM) 这样的现有方法是静态的,并且在多式联网数据集成方面遇到了困难.
研究的目的:
- 开发一个动态的多式联运管理知识网络,使用认知地图和事件驱动更新算法.
- 解决静态模型在处理实时数据和多式联运信息方面的局限性.
主要方法:
- 使用增强的ELMo模型对多式联运数据进行特征调整.
- 构建一个量子嵌入模型用于跨域概括.
- 实施事件驱动权重更新以实现动态网络适应.
主要成果:
- 在供应链测试中,决策效率提高了74.4%.
- 在预测芯片短缺风险路径方面,准确率为92.1%.
- 供应商营业额效率上升了77.1%.
结论:
- 提出的方法有效地建立了动态的多式联运管理知识网络.
- 该方法显著提高了决策效率和预测准确性,在充满活力的环境,如供应链.
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