为解决现有的决策支持技术不能解决的区域经济历史数据稀少的问题,提出了区域经济发展Data Farming决策支持技术。所提出的技术采用基于智能体仿真的Data Farming技术,对参数空间进行遍历搜索,以利用各个参数值对应的仿真结果来获取大量的数据,使决策者可以有效地识别到系统的最优控制值,并了解在控制值下的系统风险性。最后,以江门市社会消费品零售总额的控制优化为例,说明了该技术的有效性。
In order to solve the problem that the existing decision support techniques can not cope with the scarcity of historical data on regional economic issues,a data farming based decision support technique for regional economic development was proposed.In the proposed technique,the data farming technique,which is based on agent based simulation,was employed to search the vast parameter space to obtain large amount of output data corresponding to the simulation results.Thus,the decision maker could efficiently identify the optimal control value and easily recognize the system risks of the optimal value.At last,an experiment of controlling optimization for Jiangmen's retail value of social consumer goods was conducted to verify the proposed technique.