摘要
伴随着数据密集型科学的发展与成熟，决策也出现了非线性、去中心化、自下而上、群体智慧等方面的新动向。通过梳理数据驱动型决策的基础理论，综述国内外研究进展，介绍其主要应用领域，最后从决策框架角度出发，针对电动汽车产业发展情况，总结面向决策导向型的电动汽车多源多维数据整合时，在整合范围、时效和展示方面的特点，提出了面向电动汽车的数据驱动型决策框架，并结合两个电动汽车领域的决策实践，介绍了其具体应用。
With the development and maturity of data-intensive science, decision has some new trends, such as nonlinear, decentralized, from bot om to top and group wisdom. The paper summarizes the fundamental theory, the inner and outer development, main applications of data-driven decision making. From the view of decision framework, it sums up the main characteristics of decision-oriented multi-source and multi-dimensional data integration in the fields of integration scope, time-sensitive and output representation by combining with electric vehicle industry. Final y, two decision practices are introduced in the electric vehicle decision making.
出处
《数字图书馆论坛》
CSSCI
2014年第12期40-45,共6页
Digital Library Forum
基金
国家科技支撑计划课题“电动汽车专题数据库建设”(编号:2013BAG06B02)、“电动汽车技术预测及决策支持应用示范”(编号:2013BAG06B04)
中国科学技术信息研究所预研课题“基于混合扫描决策模型的科研立项决策框架研究”(编号:YY-201412)资助
关键词
电动汽车
数据驱动型决策
决策框架
决策实践
Electric vehicle
Data-driven decision making
Decision framework
Decision practice
