随着信息技术的迅速发展,智能决策支持系统(IDSS)在企业管理中的应用日益受到关注。本文旨在探讨IDSS在企业管理中的应用,分析其当前存在的问题并给出解决措施。首先介绍了IDSS的背景和意义,阐述了其在生产运营、市场营销、供应链管理等领域的具体应用场景,并强调了其对企业决策的重要性。然后分析了IDSS面临的挑战,包括数据质量、模型不确定性等问题,并提出了利用大数据、人工智能等新技术来解决这些问题的解决方案。通过本文,可以更深入地理解IDSS在企业管理中的作用,为企业决策者提供理论指导和实践建议。With the rapid development of information technology, the application of Intelligent Decision Support Systems (IDSS) in enterprise management is attracting increasing attention. This paper aims to explore the role and impact of IDSS in enterprise management, analyze the current problems it faces, and provide solutions. The background and significance of Intelligent Decision Support Systems (IDSS) are first introduced, elucidating its specific application scenarios in areas such as production operations, marketing, and supply chain management, emphasizing its crucial role in business decision-making. Subsequently, the challenges faced by IDSS are analyzed, including issues like data quality and model uncertainty, with proposed solutions leveraging new technologies, such as big data and artificial intelligence. This aims to provide a deeper understanding of IDSS’s role in enterprise management, offering theoretical guidance and practical recommendations to facilitate continuous business development and innovation. Through this paper, a deeper understanding of the role of IDSS in enterprise management can be gained, providing theoretical guidance and practical advice for business decision-makers.
目的/意义整体分析国内临床决策支持系统(clinical decision support system,CDSS)领域专利权人技术情况,为CDSS相关技术研究提供借鉴。方法/过程从公开趋势、专利分布、技术领域分布等方面对CDSS公开专利数据进行分析,划分专利权人类别,依靠词频和词间向量分析其技术关注情况,基于活跃专利权人分析技术关联和专利独占相关情况。结果/结论CDSS专利公开数量整体呈增长趋势,该领域在国内尚未形成技术垄断,政府部门和研究机构应关注可能产生的金融风险。
