摘要
全面研究和分析决策支持系统(DSS)的发展轨迹,对研究DSS未来的新理论、新模型、新技术、新应用具有十分重要的意义。对DSS的发展历程尤其是它的结构与支撑技术进行了全面的探讨。在对其进行深入剖析的基础上,指出需求和技术是DSS发展的两个主要动力,在大数据时代更是如此。同时分析了DSS在大数据时代所面临的新需求与新问题,并结合大数据和云计算相关技术,对未来DSS如何满足这些新需求、解决这些新问题进行了分析与展望。
An overall research and analysis of past development track of the decision support system (DSS) is of great significance for the further development of its new theories, models, technologies and applications. Thus, this paper com- prehensively discussed the development track of DSS, especially its structures and supporting technologies. From the analysis, we could see clearly that demands and technologies are two major driving forces for the development of DSS, especially in the era of big data. Moreover, we illustrated new demands and problems that the researchers of DSS have to face in the era of big data and discussed how to meet these new demands and solve these problems for DSS in the future by integrating technologies of big data and cloud computing.
作者
梁罗希
吴江
LIANG Luo-xi WU Jiang(College of Information Science and Engineering, Northwest University, Xi' an 710127, China)
出处
《计算机科学》
CSCD
北大核心
2016年第10期27-32,共6页
Computer Science
关键词
决策支持系统
大数据
云计算
Decision support system, Big data, Cloud computing